US20120005109A1 - System, Method, and Apparatus for Property Appraisals - Google Patents

System, Method, and Apparatus for Property Appraisals Download PDF

Info

Publication number
US20120005109A1
US20120005109A1 US13/232,786 US201113232786A US2012005109A1 US 20120005109 A1 US20120005109 A1 US 20120005109A1 US 201113232786 A US201113232786 A US 201113232786A US 2012005109 A1 US2012005109 A1 US 2012005109A1
Authority
US
United States
Prior art keywords
property
appraisal
data
market
score
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US13/232,786
Inventor
Brad Stinson
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zaio Corp
Original Assignee
Brad Stinson
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Brad Stinson filed Critical Brad Stinson
Priority to US13/232,786 priority Critical patent/US20120005109A1/en
Publication of US20120005109A1 publication Critical patent/US20120005109A1/en
Assigned to ZAIO CORPORATION reassignment ZAIO CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: STINSON, BRADLEY HUGH
Abandoned legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0278Product appraisal
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/16Real estate

Definitions

  • the present invention generally relates to property appraisals, and more particularly, to a system and method for quickly and accurately appraising one or more pieces of property in connection with valuation and appraisal of the property.
  • Property appraisals are a way to value a particular piece of real property during buying, selling, taxation, or exchanges of property. Appraisals are used during each of these processes and also during mortgage and lending transactions.
  • Property appraisals can be cumbersome, time-consuming, and inaccurate.
  • Property appraisers typically appraise one property at a time, rather than multiple properties.
  • a property appraisal may take 5-10 days, because an appraiser usually visits the property personally to measure its value. Alternatively, the property may not be physically inspected, which can make the appraisal inaccurate.
  • Property values vary based on supply and demand as well as physical characteristics such as size, amenities, parking, view, and condition. As such, value has typically been measured by an appraiser's individual opinion after conducting property specific research. Research time delays the customer's buying or selling process. Also, the opinion of an individual appraiser can be influenced by those involved in fraudulent financing schemes.
  • Automated Valuation Models have attempted to value individual properties through pure statistical analysis or by updating the last selling price based on a time index.
  • Property appraisals typically only include recent sales, so that a complete analysis of all sales is not considered during the valuation of property value.
  • the United States Government may pressure lenders to revalue each mortgage where collateral is perceived to have fallen.
  • the closing period on residential properties in the United States has traditionally taken 60-120 days; however, there is growing acceptance of a 1-5 day closing period. This trend highlights the desire for appraisals to be delivered on very short notice without compromising accuracy.
  • Exemplary embodiments of the present invention include a system, method, and apparatus for property appraisals such as:
  • An appraisal system includes: a collector system configured to gather at least one of data and files associated with a property; and a scoring system coupled to the collector system and configured to analyze at least one of the data and files in order to calculate a score associated with the property, where the score is calculated using at least one of a zone and a market group associated with the property.
  • the appraisal system further includes an appraisal database coupled to at least one of the collector system and the scoring system and configured to receive at least one of data and files from at least one of the collector system and the scoring system in order to generate an appraisal report associated with the property.
  • the appraisal system further includes where the scoring system uses at least one of the score and market analysis software to calculate an appraisal report associated with the property.
  • the appraisal system further includes where the scoring system uses at least one of the score and market analysis software to calculate an appraisal value associated with the property.
  • the appraisal system uses at least one of the score and market analysis software to calculate at least one of an appraisal value and an appraisal report associated with the property.
  • the appraisal system where at least one of: a portable communication device in communication with at least one of the collector system and the scoring system collects latitude, longitude, and altitude coordinates of the property via a Global Positioning System; and a portable communication device in communication with at least one of the collector system and the scoring system generates at least one of a photograph and satellite image of the property via a Global Positioning System in order to place a verified latitude, longitude, and altitude in the center of the property.
  • the appraisal system where at least one of: the data and files include at least one of a photograph of the property, a parcel number associated with the property, and one or more comparable sales of other properties in the market group of the property; the data includes at least one of geographic area, type, style, and size range of the property; and a portable communication device configured to capture an image of the property and record audibly an address for the property to generate an audio clip that is associated with the image, so that the image can be tagged with a related address data field.
  • the appraisal system further includes where the data and files include at least one of a photograph of the property, a parcel number associated with the property, and one or more comparable sales of other properties in the market group of the property.
  • the appraisal system further includes where the data includes at least one of geographic area, type, style, and size range of the property.
  • the appraisal system further includes where the zone is defined by at least one of the market group, a community, a neighborhood, a city, one or more zip codes, a county, a state, a region, and a country.
  • the appraisal system further includes where the market group is defined by at least one of the zone, one or more attributes of the property, one or more comparable sales of other properties, a subdivision, a community, and a predetermined geographic boundary.
  • the appraisal system further includes where one or more properties with similar attributes are in the same market group.
  • the appraisal system where at least one of: the market group is defined by at least one of the zone, one or more attributes of the property, one or more comparable sales of other properties, a subdivision, a community, and a predetermined geographic boundary; and one or more properties with similar attributes are in the same market group.
  • the appraisal system further includes where at least one of: the data is at least one of gathered, reviewed, validated, edited, corrected, and formatted in order to be able to generate an appraisal report associated with the property; and a portable communication device in communication with at least one of the collector system and the scoring system collects latitude and longitude coordinates of the property via a Global Positioning System.
  • a method including the steps of: collecting data related to a first property; creating at least one of a zone and a market group for the first property; generating a score associated with the first property based on the data; mapping the score to one or more comparable sales of one or more other properties based on at least one of the score, the zone, and the market group; and generating an appraisal report for the first property based on at least one of the score, the zone, the market group, and mapping of the score to one or more comparable sales of one or more other properties.
  • the method further comprising collecting the data in at least one of text, image, audio, and video files.
  • the method further comprising at least one of: one or more of the files are imported into an appraisal database; address data fields associated with the files are tagged in the appraisal database; integrating the files into the appraisal database; and allowing access to the files in the appraisal database in order to generate an appraisal report.
  • the method further comprising at least one of: performing quality control of the data; notifying an appraiser or another entity if there is a quality control error associated with the data; at least one of formatting and validating the data; updating an appraisal value of the first property on a timely basis including at least one of daily, monthly, quarterly, and annually; and allowing access to the data in the appraisal database in order to generate an appraisal report.
  • a method including the steps of: requesting an appraisal of a property via an appraisal system, where the appraisal system includes a collector system, an appraisal database, an accounting system, and a scoring system; using the collector system to search for at least one of data and files related to the property; searching the appraisal database for at least one of data and files related to the property; creating an accounting invoice related to the property via the accounting system; analyzing at least one of the data, files, and accounting invoice via the scoring system to generate at least one of a score, a zone, and a market group; and preparing an appraisal report associated with the property instantly or within a predetermined period of time based on at least one of the score, the zone, and the market group.
  • the method further comprising at least one of: where the appraisal report includes at least one of an exterior based appraisal, an interior based appraisal, and a special request appraisal; and notifying an appraiser to perform a property or site inspection of the property based on the appraisal report.
  • the method further comprising at least one of: accessing the collector system to at least one of add, edit, review, and verify data including photographs associated with the property; at least one of viewing, reviewing, adding, editing, and verifying property data including photographs via a portable communication device; and accessing the collector system to at least one of add, edit, review, and verify the appraisal report associated with the property.
  • a method including the steps of: collecting data related to a first property; creating at least one of a zone and a market group for the first property based on the data, where each zone includes a plurality of market groups and each market group is generated based on at least one of geographic area, type, style, and size range of the first property; generating a score associated with the first property based on at least one of the zone and market group; mapping the score to one or more comparable sales of one or more other properties based on at least one of the score, the zone, and the market group; and generating an appraisal report for the first property based on at least one of the score, the zone, the market group, and mapping of the score to one or more comparable sales of one or more other properties.
  • mapping the score to one or more comparable sales of one or more other properties includes mapping the score to a cash value of one or more other properties based on at least one of the score, the zone, and the market group.
  • mapping the score to one or more comparable sales of one or more other properties includes mapping the score to a current market value of one or more other properties based on at least one of the score, the zone, and the market group.
  • a system including: a host system including a processor for processing data associated with a property; a memory in communication with the processor for storing the data; an input digitizer in communication with the memory and the processor for inputting the data into the memory; and an application program stored in the memory and accessible by the processor for directing processing of the data by the processor, where the application program is configured to facilitate the steps of: collecting data related to a first property; creating at least one of a zone and a market group for the first property; generating a score associated with the first property based on the data; mapping the score to one or more comparable sales of one or more other properties based on at least one of the score, the zone, and the market group; and generating an appraisal report for the first property based on at least one of the score, the zone, the market group, and mapping of the score to one or more comparable sales of one or more other properties.
  • a system including: a host server for accepting and processing data in connection with a property; an appraisal database in communication with the host server for collecting data on the property and using a collector system of the host server to gather at least one of data and files associated with the property; and a scoring system in communication with at least one of the host server, the collector system, and the appraisal database configured to analyze at least one of the data and files in order to calculate a score associated with the property, where the score is calculated using at least one of a zone and a market group associated with the property.
  • a system including: a browser for submitting data to a web server, where the browser and the web server communicate via a communication channel and the data submitted to the web server includes information in connection with at least a first property; a collector system associated with the web server for collecting data related to the first property; an appraisal database associated with the web server and in communication with the collector system for collecting data on the first property; and a scoring system associated with the web server and in communication with at least one of the collector system and the appraisal database for creating at least one of a zone and a market group for the first property, generating a score associated with the first property based on the data, mapping the score to one or more comparable sales of one or more other properties based on at least one of the score, the zone, and the market group, and generating an appraisal report for the first property based on at least one of the score, the zone, the market group, and mapping of the score to one or more comparable sales of one or more other properties.
  • FIG. 1 illustrates an appraisal system in accordance with an exemplary embodiment of the present invention
  • FIG. 2 illustrates an appraisal system with a scoring system in accordance with an exemplary embodiment of the present invention
  • FIG. 3 illustrates a screen shot from running market analysis software on a scoring system within an appraisal system in accordance with an exemplary embodiment of the present invention
  • FIG. 4 illustrates screen shots from running market analysis software on a scoring system within an appraisal system in accordance with an exemplary embodiment of the present invention
  • FIG. 5 illustrates a screen shot from running market analysis software on a scoring system and a graphic illustration of comparable balancing of sales within an appraisal system in accordance with an exemplary embodiment of the present invention
  • FIG. 6 is a flowchart illustrating a method for creating appraisal database 105 in accordance with an exemplary embodiment of the present invention
  • FIGS. 7 and 8 illustrate mapping of comparable sales to GeoScoreTM scores (or values) in accordance with an exemplary embodiment of the present invention
  • FIGS. 9-14 illustrate exemplary embodiments of the graphical user interface of market analysis software 203 running on a portable communication device 1501 in accordance with an exemplary embodiment of the present invention
  • FIG. 15 illustrates verification of data using GPS satellite map in accordance with an exemplary embodiment of the present invention
  • FIG. 16 is a flowchart illustrating a method for analyzing one or more zones, market groups, and comparable sales using market analysis software 203 to generate a value for each property based on one or more scores in accordance with an exemplary embodiment of the present invention.
  • FIG. 17 is a flowchart illustrating a method for analyzing one or more zones, market groups, and comparable sales using market analysis software 203 to generate a value for each property based on one or more scores and evaluate the value in accordance with an exemplary embodiment of the present invention.
  • a property appraisal system 100 of FIG. 1 includes a collector system 101 , an accounting system 103 (e.g., an accounting database), an appraisal database 105 , and a scoring system 201 (in FIG. 2 ) in accordance with an exemplary embodiment of the present invention.
  • Customer(s) 107 such as individuals, banks, insurance companies, and other entities can order residential and commercial real estate appraisals over the interne using appraisal system 100 .
  • Home ownership has significantly increased and as a result, the total volume of residential mortgages has significantly increased. This increase has produced a large pool of mortgage backed portfolios that banks buy and sell regularly (depending on risk exposures).
  • Appraisal system 100 can be a one-stop shop for lenders requiring thousands of appraisals.
  • a lender can subscribe to use appraisal system 100 for a predetermined period of time (e.g., the life of a mortgage), where changes in value of a property based on an appraisal can affect the value of the equity in the property (e.g., on a daily, monthly, quarterly, annual basis, or any other period of time).
  • Appraisal system 100 can offer accurate and timely appraisal information without lenders calling on multiple appraisers in different regions. For example, consider a lender receiving a credit report for a fee from providers such as EQUIFAXTM or TransUnionTM. Appraisal system 100 offers substantial efficiencies and economies of scale.
  • Appraisal system 100 can generate appraisals for lenders and banks such as WELLS FARGOTM, CitigroupTM, WACHOVIATM, and Countrywide FinancialTM. These entities frequently reassess and trade large mortgage-backed debt securities for which they desire fast and accurate valuations. As the number of real estate transactions and inquiries grow, so does the desire that lenders, among other groups, receive accurate and up-to-date appraisal information quickly (e.g., instantaneously or up to 48 hours). Appraisers visit the property, collect data (e.g., common data), and complete an appraisal report 206 . Appraisal system 100 consolidates existing common data and substantially ensures its accuracy as soon as new neighborhood data is available (e.g., providing an appraisal instantaneously or within 24-48 hours).
  • Appraisal system 100 can shorten the time it takes to generate a USPAP (Uniform Standards of Professional Appraisal Practice) compliant appraisal from five-ten days to instantly or within seconds (or up to 48 hours depending on the detail desired).
  • USPAP Uniform Standards of Professional Appraisal Practice
  • appraisal system 100 can be used to appraise every home or property, on every street, one house or property at a time in entire cities including compliance with USPAP standards 1 and 2 (e.g., substantially faster and more accurately than a tax assessor could do).
  • Appraisal system 100 can also update the value of each property on a timely basis (e.g., daily, weekly, monthly, quarterly, or annually).
  • Appraisal system 100 can improve accuracy of the appraisal to over 90% (compared to 65% from the next best alternative).
  • appraisal system 100 can also be used with an order management system (e.g., RealinkTM system) to give customer 107 a choice between an instant appraisal via appraisal system 100 or an appraisal delivered in the traditional way (e.g., over five-ten days).
  • This flexibility allows appraisal system 100 access to lenders such as Fannie MaeTM, WELLS FARGOTM, and WACHOVIATM, all of whom use a network of 4,000 appraisers from time to time (e.g., via the RealinkTM system or another order management system).
  • property data is gathered, validated, edited or corrected, and formatted in order to be able to generate an appraisal report 206 .
  • Property data is gathered in text, image, audio, and video files (step 601 ).
  • a trained professional e.g., appraiser, photographer, videographer, or other
  • photographs via a digital camera or video recorder
  • the appraiser, photographer, videographer, or other trained professional can be the same person or entity or separate.
  • the photographer walks the street and carefully frames each photograph to view the most important aspects of the home, building, or other real estate.
  • a trained photographer moves through a zone (e.g., an area defined by a zip code) using a digital camera with voice recording capabilities and captures pictures of properties plus audio or sound files with the associated address of the property.
  • the photographer can photograph each property randomly by recording audibly the addresses for each photograph in the zone.
  • the photographer speaks the address of the property audibly into the camera's audio record function, which creates an audio clip that is associated with that particular photo image.
  • the photographer can hear sound files while tagging the digital pictures with related address data fields.
  • Files are imported into appraisal system 100 and address data fields are tagged (e.g., via the Internet or any network) (steps 603 and 605 ).
  • a photographer can send the data from the field (street) to collector system 101 using a Microsoft file (e.g., Access DB (or database)) or MYSQL (software).
  • Microsoft file e.g., Access DB (or database)
  • MYSQL software
  • collector software within collector system 101 imports and organizes the photographs and audio clips generated by a photographer in the geographic area.
  • These files can include satellite photos and one or more maps, which permits accurate recording of GPS (Global Positioning System) coordinates (e.g., by clicking on a roof-top within the satellite photo).
  • Digital photograph and sound files (to record the address) of each property are compiled into the collector system 101 .
  • Collector system 101 allows a user (e.g., an appraiser) to import text, image, audio, and video files via the Internet or any network.
  • Collector system 101 generates a database (e.g., GeoPicTM collector database 121 ) with the photograph of each property (and can include the text, image, audio or sound, and video files).
  • This GeoPicTM collector database 121 of images and valuations can be used for the real estate, mortgage, and insurance industries, among others, grows over time with additional property information, and is updated constantly to maintain accuracy.
  • Collector system 101 generates a central visual database (e.g., a comprehensive real estate photo library) from the GeoPicTM collector database 121 that allows users to view properties at the street level from their computer (e.g., where each property can be accessed by address). Photographers take pictures of all residential, commercial, and industrial properties within defined geographic areas (e.g., zones).
  • GeoPicTM collector database 121 is a visual database of residential, industrial and commercial properties in major cities across the United States (or any other country, state, region, or area). Using the GeoPicTM collector database 121 cuts costs and improves efficiencies for appraisers using appraisal system 100 who traditionally have had to proceed with this often arduous process on their own.
  • Collector system 101 offers the real estate market an affordable and efficient alternative to traditional property evaluation methods.
  • the central visual database within collector system 101 reduces and often eliminates the “picture taking” time and expense currently experienced by appraisers, real estate agents, and others who require visual images of property.
  • the central visual database allows qualified users access to an enormous property inventory and information instantly or within seconds.
  • the central visual database can also include a Visual Yellow Pages (VYP) (e.g., where appraisal system 100 partners with Yellow PagesTM directories and online mapping sites such as GoogleTM, YAHOOTM, and MAPQUESTTM).
  • VYP Visual Yellow Pages
  • local businesses can post interior pictures of their stores and operations via such online directories, so that appraisers and customer(s) 107 s can have access to more detailed information.
  • Such a central visual database can be used in various other industries including police department, fire department, ambulance, city planning, city engineering, business planning, business management, retail location studies, construction bids and quotes, marketing of home improvement materials, marketing of retail business service (such as interior virtual tours of retail shops and services that link to the exterior photo), and GPS (Global Positioning System) navigation systems (e.g., showing a photo of the destination).
  • police department fire department, ambulance
  • city planning city engineering
  • business planning business management
  • retail location studies construction bids and quotes
  • marketing of home improvement materials such as interior virtual tours of retail shops and services that link to the exterior photo
  • GPS Global Positioning System
  • Quality control of files and data is performed via appraisal system 100 (e.g., text, image, audio, and video files in collector system 101 and/or property data in appraisal database 105 can be reviewed, checked, verified, or otherwise evaluated (e.g., in FIG. 14 )) (step 607 ).
  • Images are uploaded by the collector software associated with GeoPicTM collector database 121 to quality control personnel and collector system 101 . After quality control and/or review by the personnel, the images within collector system 100 become readily available for use by appraisal system 100 .
  • a quality control measure checks each photograph (and can check the text, image, audio or sound, or video files) for incorrect address, description, or tax information (such as against a county assessor's information).
  • the quality control also includes review of photographs, text, image, audio, or video files to prevent violation of privacy laws (e.g., disclosing confidential information, identification information or images, or other types of data or information).
  • review of photographs, text, image, audio, or video files can include removing or eliminating personal identifiers (e.g., license plate numbers from cars in the file, names visible on or around the house, people in or around the house), identifying symbols (e.g., garbage on the lawn, unique structures on or around the property), or other undesirable information (e.g., poor photograph quality, poor framing of photograph, or other).
  • personal identifiers e.g., license plate numbers from cars in the file, names visible on or around the house, people in or around the house
  • identifying symbols e.g., garbage on the lawn, unique structures on or around the property
  • undesirable information e.g., poor photograph quality, poor framing of photograph, or other.
  • a database or data (e.g., in an HTML (HyperText Markup Language) file) either within the appraiser's portable communication device 1501 or within collector system 101 (e.g., GeoPicTM collector database 121 ) is quality checked.
  • a notification of quality control failures or errors can be sent to the user (e.g., via an automated email) allowing the user to correct the failure or error (e.g., take another photograph, record video, or correct other data).
  • Collector system 101 performs various address matching and formatting (e.g., in accordance with the United States Postal Service standards or another desired standard).
  • Collector system 101 formats and validates each address for each photograph (e.g., photographs can be held on a file server). For example, formatting can include meeting United States Postal Service postal standards.
  • Validating can include checking the property data against a county assessor's parcel data (e.g., in SQL (Structured Query Language)).
  • the photograph (and optionally the text, image, audio or sound, or video files) of each property along with the formatted address information is integrated with each property's parcel information (e.g., a county assessor's parcel data). Any failures or errors in the matching, formatting, or validating process are recorded, researched, and corrected.
  • Appraisal system 100 notifies the appraiser or another entity if there is a quality control error (step 609 ).
  • Appraisal system 100 (e.g., via collector system 101 ) formats and validates the files and data (step 611 ).
  • Appraisal system 100 (e.g., via collector system 101 ) integrates the files and data into appraisal database 105 (step 613 ).
  • Appraisal system 100 allows access to the files and data in appraisal database in order to generate one or more appraisal reports 206 (step 615 ). By photographing, accessing data, performing quality control, validating and formatting data, appraisal system 100 creates appraisal database 105 for use in appraising properties.
  • Appraisal system 100 creates appraisal database 105 that includes data to fill in a variety of appraisal forms. Many industry standard forms do not require an interior inspection, but such standard forms may require detailed research on market conditions for a particular property. In these instances, appraisal system 100 can deliver a USPAP compliant appraisal report 206 instantly by automatically transferring the appraiser's research into the appropriate form at the moment of order. This research (e.g., data) could include property attributes and photographs of the subject property and all comparable sales along with the appraiser's research, comments, adjustments, final value estimate, and signature for the subject property. Where a particular data point is not contained in the appraisal database 105 , the local appraiser can collect that information after the appraisal order.
  • This research e.g., data
  • the appraisal database 105 is compatible with the Uniform Residential Appraisal Report (URAR) form.
  • URAR is a standard appraisal form used and recognized by the real estate industry for full interior appraisals that are completed.
  • each real estate appraisal in the United States for example, requires an appraisal by a certified appraiser whose work is USPAP (Uniform Standards of Professional Appraisal Practice) compliant.
  • USPAP Uniform Standards of Professional Appraisal Practice
  • Appraisal system 100 uses a hotloading cycle to retrieve data from collector system 101 (e.g., from a collector database 121 ) and/or appraisal database 105 and automatically populate appraisal and/or property valuation form to be used for a given property appraisal in the appraisal system 100 (e.g., the property appraisal can be delivered immediately to customer 107 ).
  • a hotloading cycle can include a request for interior inspection of a property (e.g., customer 107 sends a request to appraisal system 100 for the inspection), appraisal system 100 receives the request and sends a hotload report to an appraiser (e.g., after step 120 ), the appraiser does a physical inspection of the property, and the appraiser sends the inspection report to appraisal system 100 or directly to customer 107 .
  • Appraisal system 100 can receive the request and send a hotload report to an appraiser.
  • the research which has typically already been completed is imported into appraisal database 105 (e.g., traditionally used for appraisal report preparation).
  • the appraiser can do a physical inspection of the property and send the inspection report (e.g., hotload report after step 120 ) to appraisal system 100 or directly to customer 107 .
  • Validation can also include correcting any errors within the county assessor's parcel data (e.g., editing the data within appraisal database 105 during the hotloading cycle).
  • Each zone can be broken down or segmented into one or more market groups (e.g., by a local appraisal expert owning rights to that zone).
  • a particular market group may include the properties that are almost identical to one another within a particular neighborhood, a single zip code, or multiple zip codes depending on the property being valued.
  • a particular market group may include a particular neighborhood within a zip code, a single zip code, or multiple zip codes depending on the property being valued.
  • a market group can be segmented by market name, such as by a subdivision, a community, or a predetermined geographic boundary.
  • Appraisal system 100 identifies market groups by organizing all the different properties within a zone into groups (such as 1-level, 2-level, split-level, contemporary, and the like). Appraisal system 100 can further separate each type of group by size groups (such as 1600-1900 square feet in one group, 1900 to 2200 square feet in a second group, and so on). Appraisal system 100 can further separate these groups by external features (such as view, location on a busy road or golf course, school district, and the like). In one example, the identification of market groups and subgroups results in the identification of approximately 30-75 market groups within one zone (e.g., 40 on average). In FIG. 4 , properties can be distributed into market groups based on similarity of a number of property attributes (e.g., 4 key property attributes: 1.
  • Each property is assigned a value for these four attributes and like properties with the same rating are grouped together to form a market group.
  • the local appraiser expert selects a unique set of relevant comparable sales for each market group, which are utilized to determine the high and low end of value within the market group.
  • the value of each home within such group is adjusted to reflect the differences observed by the scoring system.
  • Market groups can be adjusted and updated periodically (e.g., every 30 days) by analyzing sales and listings (e.g., property listings, MLS (Multiple Listing Service) listings, or other) that have transpired during that period.
  • values can still be adjusted based on data from other groups which support an overall trend in value (either up or down).
  • An inactivity report can be generated for this market group, if desired.
  • Appraisal system 100 organizes the text, image, audio, and video files (e.g., photograph and sound files), formatted address information, and each property's parcel information. Appraisal system 100 uses the text, image, audio, and video files (e.g., photograph and sound files), formatted address information, and each property's parcel information to score and sign-off (e.g., validate) each property's value (e.g., in a zone). Appraisal system 100 integrates information about a large number of properties per zone (e.g., per neighborhood, community, city, county, state, region, or country) and uses this information to provide fast, accurate property appraisals for each property. Appraisal database 105 is populated with photographs and data about each property for each zone.
  • Appraisal database 105 is populated with photographs and data about each property for each zone.
  • Appraisal system 100 can access or purchase common data from title insurance companies (such as First AmericanTM and Fidelity National FinancialTM) as well as from county tax assessors, MLS (Multiple Listing Service) and regional realtor boards. Appraisal system 100 can also access each appraisers existing data.
  • a zone can be defined by one or more zip codes. Zip codes change over time, although the boundaries for each zone do not need to.
  • each zone is identified based on a census (e.g., the 2000 census in the United States) with an average of 10,000 properties per zone (although there can be any number of properties in a zone).
  • appraisal system 100 organizes the files (e.g., photographs), formatted address information, and each property's parcel information into an online appraisal application.
  • addresses are segmented into geographic zones that contain approximately 10,000 addresses each.
  • Zones are assigned (e.g., sold) to local appraisers who can aid in the analysis and specialize in understanding the value of every property in their zone.
  • Each appraiser can add detailed property-specific data to each property within their zone.
  • Each appraiser can aid in maintaining each property's data current and adding new data for each property as it becomes available.
  • Each appraiser can go into the field and judge each property subjectively and rank it under a number of predetermined, recognized appraisal fields.
  • appraisal database 105 It is each appraiser's subjectivity and physical inspection of each property that allows appraisal system 100 to provide accurate valuation of each property. Appraisers that purchase one or more zones from appraisal system 100 often have their own teams of appraisers that collect data and prepare appraisals over the traditional five to ten day time frame. Appraisal system 100 represents a consolidation opportunity of a very fragmented industry, providing a level of standardization sought by regulators and institutional users of appraisals. An appraiser with already substantial volume would be able to purchase zones, which they consider to be assets, and increase their own business as a result. The appraiser can generate added revenue as the customer base of appraisal system 100 grows to include high-volume regional, national, and international lenders that request many appraisals at a time.
  • Appraisal system 100 provides added efficiency to the appraiser, which in turn can allow that appraiser an opportunity to lower overhead by reducing their appraisal personnel.
  • Appraisal system 100 uses the files (e.g., photographs), formatted address information, parcel information and a physical appraiser's inspection of each property from the street to score and sign-off (e.g., validate) each property's value.
  • Appraisal system 100 integrates the data and value estimates from thousands of zones into one comprehensive, nationwide database (e.g., appraisal database 105 ) to provide fast, accurate property appraisals for any property customer 107 may require or desire an appraisal for.
  • customer 107 logs into appraisal system 100 via the Internet or any network and requests an appraisal of a property (step 102 ).
  • a search e.g., address search, parcel number search, or other identifying data search
  • customer 107 can view one or more photographs and property data in collector system 101 (step 106 ).
  • customer 107 wants an appraisal for the property
  • customer 107 can request an appraisal report 206 (step 108 ).
  • Customer 107 can select the type of format for appraisal report 206 (e.g., an exterior based appraisal, an interior based appraisal, an exterior and interior based appraisal, a special request appraisal, or other) and this request is sent to collector system 101 (step 110 ).
  • an appraiser can add, edit, or verify data and photographs associated with the property (step 122 ).
  • the appraiser can use software (e.g., Value AnalyticsTM software (e.g., ValueXplorer® solution or Strategic Management and Business Consolidation & Planning tools) or Microsoft Performance Point ServerTM solution using Microsoft SQL Server and Sharepoint Server) compatible with a portable communication device 1501 to view, add, edit, or verify property data and photographs (e.g., even while at a property or site inspection).
  • Collector system 101 assembles the appraisal data from appraisal database 105 and creates an accounting invoice via accounting system 103 .
  • Accounting system 103 can track which customer or entity buys data from the appraiser or appraisal system 100 (e.g., which banks or other customers are buying data from the appraiser).
  • Scoring system 201 analyzes at least one of the appraisal data, photographs, and accounting invoice, and prepares appraisal report 206 (step 112 ) instantly or within a predetermined period of time (e.g., a forms generation web server assembles data from collector system 101 and appraisal database 105 to generate appraisal report 206 instantly or immediately after another inspection by the appraiser).
  • Scoring system 201 can be separate from appraisal database 105 (as illustrated in FIG. 1 ) or scoring system 201 can be a part of or within appraisal database 105 .
  • Appraisal report 206 is delivered instantly or within a predetermined period of time to customer ( 107 ) (e.g., appraisal report 206 can be delivered electronically to customer 107 via the Internet or any network).
  • an appraiser may edit the report using web based software (e.g., ACITM software (e.g., ACI CollectionTM software, ACI SketchTM software, ACI365TM software, LighthouseTM software, or CRAL CollectionTM software), ZOOwareTM software, or the like) (e.g., via a hotloading cycle) (step 114 ).
  • ACITM software e.g., ACI CollectionTM software, ACI SketchTM software, ACI365TM software, LighthouseTM software, or CRAL CollectionTM software
  • ZOOwareTM software e.g., via a hotloading cycle
  • appraisal report 206 can be the original appraisal report from step 112 or an edited or revised appraisal report after a hotloading cycle from step 120 .
  • the web based software determines that a property or site inspection is required, then the web based software notifies the appraiser to do a property or site inspection (step 116 ).
  • the appraiser typically visits the property or site and sends any required information or data to collector system 101 via a portable communication device 1501 (e.g., Personal Data Assistant or Personal Digital Assistant (PDA) (e.g., BlackberryTM device, TreoTM device, or Apple iPhoneTM or iPodTM), cellular telephone, laptop computer, mobile device, converged device, handheld device, handheld computer, “Palmtop” device, handheld, and the like) (step 118 ).
  • An edited appraisal report 206 is prepared and sent to customer 107 (step 120 ).
  • the appraiser may edit the report (step 114 ) and send the edited report directly to customer 107 via a portable communication device 1501 (e.g., even while the appraiser is at the property or site inspection).
  • FIG. 2 illustrates an exemplary embodiment of scoring system 201 in accordance with an exemplary embodiment of the present invention.
  • Scoring system 201 uses data from at least one of collector system 101 , accounting system 103 , and appraisal database 105 to score each property.
  • Appraisal system 100 includes scoring system 201 to aid in appraising each property. Each home in a zone is inspected and detailed market analysis is performed in order to provide accurate and supported property values in a more timely fashion than traditional appraisal methods.
  • a GeoScoreTM score attributes a particular “score” to a property and that score can be cross-referenced or mapped with a range of all comparable sales, valuations, appraisals, and photos for that particular zone (not just three or four properties as is the case with traditional appraisal methods) (as in the examples of FIGS.
  • An appraisal using a GeoScoreTM score is current (e.g., instantly or to within six months) and can be downloaded instantly by customer 107 for a fee per appraisal (depending on the location of the property and detail desired). Should more detail be desired, the appraiser for the related zone can update the appraisal and have that information sent to customer 107 instantly or within a 24-48 hour time frame.
  • Scoring system 201 uses various characteristics of a property that have been determined to affect a property's market value (e.g., from an exterior or interior inspection). Each characteristic of each property is rated by a local appraiser expert and given a score (e.g., from a 1 to a 10 with 1 being lowest and 10 being the highest/best) to create an overall score (e.g., a GeoScoreTM score, such as ranging from 0 to 100).
  • This scoring process 202 e.g., GeoScoring process
  • the characteristics include one or more of view, location, site, condition, parking, quality, utility (e.g., size of house), environment friendly features (e.g., solar panels, exterior siding), amenities, basement, extras, and garage.
  • quality e.g., size of house
  • environment friendly features e.g., solar panels, exterior siding
  • amenities e.g., basement, extras, and garage.
  • each property in a market group can be compared against demonstrated property sales or listings of homes within that market group (step 1701 ).
  • scoring system 201 can provide such a method.
  • the appraisal industry simply uses words (e.g., Good, Average, Very Good) and records the difference between two properties in terms of dollars only. As these dollar values change with supply and demand, all comparison ability between a sample sale price and a property being appraised is lost over time. Scoring the properties with numeric values using scoring system 201 (rather than just in terms of dollars) allows for automated comparison. Each increment on the scale from 1 to 10 can be assigned a value and these values can be gleaned from actual sales transactions that are occurring everyday.
  • Key market or value indicators are rated for each property on a scale from 1 to 10 (step 1703 ). For example, 1 is the lowest or worst in the market group and 10 is the highest or best in the market group (e.g., 5 can be considered typical). Dollar values can be attributed to each notch in the ratings scale to value property (step 1705 ). For example, if the appraiser determines that the difference between a home in average condition and one in good condition is $5000 the scores may be 5 and 6 respectively and the appraiser assigns a value of $5000 to one notch on the scoring grid. This appraiser's judgment can be applied consistently across the entire market group.
  • Each of the comparable sales or listings that have been balanced for the market group can be compared against all of the properties in the market group (step 1707 ).
  • the dollar values can be used to adjust the selling price of each sale, so that the sale generates a value indication for every property in the market group (step 1707 ).
  • Each sale or listing can be provided its value indication for each property in the market group (step 1709 ). For example, if there are 10 sales being considered in the market group, then every property in the market group has 10 possible value indications. Value indications are weighted based on the degree of adjustment desired or required (step 1711 ).
  • the degree of adjustment includes the total absolute value dollar adjustment applied to the selling price of a comparable sale in order to arrive at a value for a particular property in the market group based on the difference in scores and dollars attributed to each score. Comparable sales with the lowest absolute adjustment percentage are typically given greater weight in the final averaging of all value indications.
  • Appraisal database 105 includes a final value estimate for every property in the market group and a dollar based comparison between each property and all of the current sales and listings (step 1713 ). As new sales and listings occur, the appraiser replaces older sales with newer sales (e.g., in order to update the value of every home in the market group). The appraiser determines if the new sale is consistent with the market trend and that the sale is legitimate.
  • New sales are compared against the value estimate then contained within appraisal database 105 as measured by the appraiser (step 1715 ). This comparison determines how accurately the appraiser measured the property's value before it actually sold. As such, the appraiser has feedback as to the appraiser's ability to accurately measure value.
  • Examples of information used in scoring system 201 in accordance with exemplary embodiments of the present invention are illustrated in FIGS. 3 , 4 , and 5 .
  • data about each property can be recorded using numbers instead of words.
  • a rating scale from 1-10 is employed for any number of characteristics (e.g., 7 factors). In this example, a “1” represents the worst while a “10” represents the best relative to competing properties in the area.
  • FIG. 3 data about each property can be recorded using numbers instead of words.
  • a rating scale from 1-10 is employed for any number of characteristics (e.g., 7 factors). In this example, a “1” represents the worst while a “10” represents the best relative to competing properties in the area.
  • FIG. 3 data about
  • photography and scoring process 202 are performed and one or more market groups are determined (step 502 ).
  • Step 502 is used to create one or more GeoScoreTM scores for a property.
  • sales from one market group in a predetermined period of time e.g., past 12 months
  • their respective GeoScoreTM scores e.g., high scoring homes should have sold high.
  • An appraiser assigns a dollar value to each variable (e.g., in FIG. 5 , the difference between GeoScoreTM score 3 and 4 might be $3000).
  • scoring process 202 is used to explain how each selling price relates to the normalized value trend. If a property sells high and is scored high, the scoring process 202 indicates that it makes sense. If the property sells high and the appraiser cannot justify the price in the GeoScoreTM score, then the sale can be recorded as non-arms length sale.
  • appraisal system 100 analyzes one or more zones, market groups, and comparable sales using market analysis software 203 . Sales are searched and selected by the appraiser (e.g., appraiser studies a map of one or more zones and determines where property values change, such because of location differences (step 1601 )). Scoring system 201 includes market analysis software 203 (e.g., Value AnalyticsTM software (e.g., ValueXplorer® solution or Strategic Management and Business Consolidation & Planning tools) or Microsoft Performance Point ServerTM solution using Microsoft SQL Server and Sharepoint Server), which associates similar market groups with each other and makes it easy to find and analyze all comparable sales or listings for sale of a property.
  • Value AnalyticsTM software e.g., ValueXplorer® solution or Strategic Management and Business Consolidation & Planning tools
  • Microsoft Performance Point ServerTM solution using Microsoft SQL Server and Sharepoint Server
  • the appraiser labels each defined geography with a market name associated with a market group (step 1603 ).
  • a property is reviewed and each property is assigned a particular market name (e.g., properties are reviewed on-line using market analysis software 203 and each property is assigned a particular market name) (step 1605 ).
  • the appraiser identifies or confirms various characteristics of the property (e.g., the type of property, style of property, and size bracket for square footage of living or occupancy area of the property) (step 1607 ).
  • One or more properties are grouped into a market group (e.g., properties are automatically grouped based on similar characteristics and the grouping is called a market group (where properties directly compete)) (step 1609 ).Once properties have been placed into market groups, certain market groups may be similar enough to be associated with each other to offer additional pools of comparable sales.
  • Market analysis software 203 can provide the appraiser with a list of all potential comparable sales applicable for a given market group. The appraiser enters the relevant variables for comparison. These relevant variables include a value per square foot of floor area (e.g., the value can be in dollars ($) or a score) and an opinion of influence value for each of the scoring features (e.g., the value can be in dollars ($) or a score).
  • market analysis software 203 can reconcile the various different selling prices with each other (e.g., describe why one property sold for more than another property).
  • the opinion of influence value can be the dollars applicable for each notch in the scoring scale from 1 to 10.
  • One of the techniques to reconcile sales is to adjust each selling price upward (using the variables entered by the appraiser) to reflect the value of a home that is rated 10 for all scored features and then adjust each selling price downward to reflect a home that is rated 1 for all scored features. If each sale provides a similar upper and lower end score, then the variables entered by the appraiser are proven to be valid and supported by the market.
  • a second technique to reconcile sales is to compare all sales against a value trend line that is generated and stored periodically in appraisal database 105 .
  • Normalized value is the value of an average home that has all scoring features rated as five (5) (or what is typical of that market group) and where the property's floor area is exactly the middle of the size range.
  • the normalized values provided by each sale are considered accurate if they are within about 5% above or below the value trend line for the prior month.
  • any percentage above or below the value trend line can be set as the normalized value(s).
  • the value trend line may be the mean average of all normalized values each month.
  • appraisal database 105 can accurately track the change in values over time due to supply and demand of the real estate market.
  • the trend line approach also allows the appraiser to identify sales that appear to be non-arms-length (sold well above or below what is typical for that market group).
  • One of the more difficult aspects to appraisal involves proving or supporting adjustments by market indicators.
  • Both of the above methods for reconciling disparate selling prices can be used to prove and support the appraiser's adjustments for condition, parking, site, extras, and the like.
  • One or more property sales and listings within a market group are determined and can be displayed along with the value indicators (e.g., selling price or listing price) of each property sale and listing (step 1611 ).
  • value indicators e.g., selling price or listing price
  • market analysis software 203 can isolate just one of the variables and provide support for that particular adjustment.
  • Market analysis software 203 provides support for the opinion of influence value entered by the appraiser and helps the appraiser identify when that opinion of influence value is not indicative of market conditions.
  • Both of the methods for reconciling selling prices use a mathematical form or method commonly referred to as linear regression.
  • the appraiser can balance the market or sale indicators with each other by reviewing and adjusting how each market or sale indicator is scored (e.g., if the property sold high then the score can be high too) (step 1613 ).
  • One or more properties can be sorted to generate a benchmark and a value trend line (step 1615 ).
  • one or more properties can be sorted (e.g., by date of sale) and each sale defines the price of a benchmark (or typical) home at that point in time (step 1615 ).
  • the benchmark values produce a value trend line to accurately explain how property values are changing over time (step 1615 ).
  • Property sales and listings can be explained or discarded and sales compared within a market group to establish their respective value with respect to their respective scores (step 1617 ). Once property sales and listings are explained or discarded (e.g., because they appear to be non-arms length sales), sales can be compared to all non-sold homes in the market group to establish a value for each home based on each of their respective scores.
  • FIGS. 9-14 Examples of various aspects (e.g., graphical user interface) of market analysis software 203 running on a portable communication device 1501 (e.g., a Personal Digital Assistant (PDA) 901 with a detachable stylus 902 ) are illustrated in FIGS. 9-14 .
  • a portable communication device 1501 e.g., a Personal Digital Assistant (PDA) 901 with a detachable stylus 902
  • PDA Personal Digital Assistant
  • Appraisal system 100 offers a solution that quickly compares the value of the employee's existing property to one in the new location.
  • Appraisal system 100 offers a solution that allows the employer to purchase an appraisal for the employee's existing home and then performs a search within appraisal system 100 (e.g., within appraisal database 105 ) for a comparable property in the new region. This provides appraisal system 100 with two appraisal sales for the same customer 107 .
  • Appraisal system 100 can be used in any country in the world. Also, foreign banks have shown interest in various other countries' marketplaces given those countries' higher quality mortgage portfolios. For instance, the Canadian sub-prime market consists of about 5% of outstanding mortgages compared with about 20% in the United States.
  • a zone can be sold to an appraiser or any other entity, retained by appraisal system 100 , or licensed to an appraiser or other entity. Qualified appraisers can purchase one or more zones for a fee. Zone sales can be via a web-based platform or otherwise. Appraisal system 100 can split any revenue for all products and services sold pertaining to that particular zone with the zone owner. An appraiser can buy any number of zones, where each zone purchased involves a one-time fee that automatically renews after a period of time (e.g., five years). Such a fee can be subject to negotiated changes with respect to royalty provisions or considerations made if the appraiser is dismissed for poor performance. Typically, appraisal system 100 must approve any resale or transfer of a zone by the zone owner.
  • characteristics of each appraiser can be considered (e.g., appraisers with a market share of 3-5% in their respective regions, licensed or certified appraisers, or other relevant characteristics).
  • a licensed or certified appraiser can be assigned to a zone, the photographing of each property can be performed, and appraisal system 100 can perform a market analysis and scoring associated with, the property.
  • Appraisal system 100 can calculate an appraisal value for any property in the United States or other countries.
  • the sale of a zone can produce revenue for appraisal system 100 .
  • Appraisal system 100 sells a zone to an appraiser for approximately US$9,000.
  • the appraiser provides a deposit of US$500 to appraisal system 100 .
  • appraisal system 100 recognizes the deposit immediately as revenue.
  • the unpaid balance due from the appraiser (US$8,500) is paid within 30 days to appraisal system 100 and usually upon receipt is it reflected as deferred revenue on the balance sheet.
  • Costs are expensed as they are incurred while appraisal system 100 typically recognizes deferred revenue when all photos are complete and data is populated for that particular zone. This usually occurs 8-12 months from the date that appraisal system 100 receives the unpaid balance; however, it can be much sooner.
  • Appraiser report card 205 provides a feedback loop into appraisal system 100 via appraisal database 105 , so that actual sales price can be compared with the measured property value to verify accuracy of or adjust (to help tune) scoring system 201 characteristics. For example, if a location was scored as a 5, but the sales price analysis in appraiser report card 205 indicates that the location for a particular property should have been a 7, then this feedback loop provides error correction for other property appraisals. As such, scoring and any changes are synchronized back to appraisal database 105 and market analysis software 203 , so that updated and accurate appraiser report cards 205 can be made.
  • appraisal system 100 includes an ongoing data maintenance process. Maintenance of collector database 121 is desirable since lenders and other customer(s) 107 rely on immediate access to updated and accurate information. The ability to attract and retain appraisers includes quality control and the continuous improvement of appraisal database 105 . Accuracy is desirable as well. The appraisers are continuously fine-tuning the appraisal value of each property within their respective zone(s) to consider various conditions (e.g., new construction, natural factors (e.g., floods, fire, and winds), and other conditions), which are a part of a property's value.
  • conditions e.g., new construction, natural factors (e.g., floods, fire, and winds), and other conditions
  • Appraisal system 100 uses appraiser report card 205 for quality control personnel to continuously monitor appraisal accuracy by comparing posted appraisal values to real market transactions involving the same property. If there is a significant variation on too many property valuations in a specific zone, the appraiser or zone owner of that zone can be questioned as to why there are discrepancies and make modifications to the appraisal values accordingly.
  • Appraisal system 100 includes a process whereby data from collector database 121 can be exported to a portable communication device 1501 , which can be physically carried into the field (e.g., geographic area). While in the field, the photographer or appraiser can view the information currently contained in collector database 121 and appraisal database 105 via a portable communication device 1501 and compare the information against the actual property physically being viewed from the street. This process verifies accuracy of the data in collector database 121 and appraisal database 105 while also generating work orders to collect new photographs, re-score the property, or correct errors right at the particular geographic location. The appraiser can, for example, view the current value estimate, photograph, and score for the property while also physically viewing the property itself.
  • a portable communication device 1501 can be physically carried into the field (e.g., geographic area). While in the field, the photographer or appraiser can view the information currently contained in collector database 121 and appraisal database 105 via a portable communication device 1501 and compare the information against the actual property physically being viewed from the street. This process verifies accuracy of
  • the appraiser can view a photograph or other data in the GeoPicTM collector database 121 while physically at a property location (e.g., a verified property at a given real-world address).
  • a photograph 1502 in FIG. 15 changes as the appraiser clicks different markers on the GPS satellite map (e.g., via a portable communication device 1501 , such as a PDA).
  • the PDA application collects latitude, longitude, and altitude coordinates (e.g., GeoCodeTM coordinates) when the appraiser clicks to record an inspection of the property.
  • the appraiser verifies the existence of a real world address by collecting the latitude and longitude coordinates.
  • the address of the property has corresponding GeoCodeTM coordinates that shows where the appraiser was standing on the street during this physical inspection.
  • the PDA application also records if the property (e.g., house) is on the right or left of the view relative to the waypath the appraiser is walking (e.g., right or left on the GPS satellite map in FIG. 15 ).
  • the property e.g., house
  • the appraiser can move the R (right) and L (left) markers onto the mid-point of the correct property (e.g., house).
  • the exact latitude, longitude, and altitude of every real world address on the street is verified (e.g., visually verified).
  • a street view of the house is visible in FIG. 15 if there is any question.
  • Software associated with the GeoPicTM collector database 121 re-calculates the latitude and longitude coordinates, so that the appraiser records and physically verifies the mid-point of every real world address of the property from the street. Once the address is verified, a U appears on the GPS satellite map.
  • the real world address at a particular physical location can be verified twice (e.g., once by the original photographer of the property and second by the appraiser verifying or checking the data).
  • the appraiser can adjust the rating for condition through the portable communication device 1501 and the portable communication device 1501 will display the new estimated value.
  • the portable communication device 1501 is synchronized with the appraiser's computer, all changes or work orders are automatically transferred back to collector system 101 (e.g., to collector database 121 ).
  • photograph and property data for one or more properties are gathered (e.g., appraisal system 100 collects street photos of each property in a zone).
  • Collector system 101 gathers photograph and property data for one or more properties and uploads the photograph and property data to one or more servers (e.g., collector system 101 ) in appraisal system 100 .
  • Collector system 101 checks each photograph and parcel data as quality control to aid in the accuracy of the information.
  • Collector system 101 integrates the photograph and parcel data that passes the quality control into collector database 121 (e.g., merges the photos with existing parcel data and official government identifiers). Geographic areas are divided into one or more zones, market groups, or market names.
  • Appraisal system 100 divides a geographic area into one or more zones, market groups, or market names (e.g., outlines competing properties in a market group).
  • ArcViewTM GIS software from ESRI
  • Scoring system 201 uses the photograph and parcel data in collector database 121 along with one or more characteristics to calculate a score for each property (e.g., compares each property with all competing homes that have recently sold and establishes a current value estimate for each home).
  • One or more characteristics associated with each property are analyzed and each given a value and this information is used to calculate a score for each property.
  • Market analysis software 203 within scoring system 201 uses each score, market group information, and comparable sales for each market group to generate appraisal report 206 .
  • An appraisal report 206 is generated using the score for the property.
  • Appraisal report 206 can be accessed (e.g., a bank can access appraisal report 206 via a portable communication device 1501 ).
  • Appraisal report 206 can be used by an appraiser, customer 107 , or any other entity desiring property value information.
  • Appraisal report 206 can be adjusted depending on whether data needs to be updated or further information in association with that property is desired.
  • the appraiser verifies the data a second time from the street and collects the latitude and longitude coordinates for each real world address in order to keep track of what properties have been completed.
  • the appraiser or photographer network keeps property values current (e.g., monthly or any other period of time) and the property data and photo current (e.g., annually or any other period of time).
  • Appraisal system 100 provides accurate, physical site-verified property data, where the data is independent, objective, and fully supportable.
  • the present invention may be embodied as one or more of a method, a system, a device, and a computer program; where each method, system, device, and a computer program can include software and/or hardware components.
  • the present invention is described using block diagrams and flowcharts to illustrate means for performing the described functions of the method, system, device, and computer program.
  • the computer program can include a computer-readable storage medium having computer-readable program code means embodied in the storage medium.
  • the system can include a host system including a processor for processing data, a memory in communication with the processor for storing the data, an input digitizer in communication with the memory and the processor for inputting the data into the memory; and an application program stored in the memory and accessible by the processor for directing processing of the data by the processor.
  • the application program can be configured to perform a method.
  • the system can include various integrated circuit components, such as microprocessors, controllers, memory elements, processing elements, logic elements, and look-up tables.
  • the user of the system can be a consumer desiring to access an on-line service, access a restricted area, purchase and/or sell a product, service or other item of commerce, otherwise transact in commerce, and/or communicate with another entity.
  • the user may alternatively be a merchant, a distributor, a supplier, a person, an entity, software, hardware and/or the like desiring to transact or otherwise communicate with a consumer, a merchant, a distributor, a supplier, a person, an entity, software, hardware and/or the like.
  • the user may interact with the system via any input device such as a computing unit, keyboard, mouse, smart card reader, biometric system, kiosk, personal digital assistant, handheld computer (Palm Pilot®), cellular phone and/or the like.
  • a host may be one or more of the following: a server, a personal computer, a mainframe, a distributed network (the Internet), a web service, and/or the like.
  • a database call may include, e.g., back-up data, tracking information, and/or the like.
  • a database may be any type of database, such as relational, hierarchical, object-oriented, and/or the like.
  • Common database products that may be used to implement each database include DB2 by IBM (White Plains, N.Y.), any of the database products available from Oracle Corporation (Redwood Shores, Calif.), Microsoft SQL Server by Microsoft Corporation (Redmond, Wash.), or any other database product.
  • Each database may be organized in any suitable manner, including data tables or lookup tables.
  • a browser may be a client computer, such as a machine containing interface software used by the user.
  • the browser may include PC, MAC, cell phone, PDA, kiosk and/or the like containing internet browser software, and/or network user interface software.
  • a web server may include a data center, such as a centralized server with remote fail-over, a distributed data center patterned after a Web Services model, one or more servers configured to receive and respond to requests from the browser (such as one or more microcomputers or mainframes), and/or the like.
  • the web server may also include web server processes (programs that receive and respond to requests, such as CGIs, Java Servlets, JSP, ASP).
  • the web server processes may communicate with static content (text; graphics, sound files, video, and/or the like using HTML, WML, MIME defined files, and/or the like) via one or more communication channels (operating system supported file read on static content, data retrieval from a datastore, and/or the like).
  • the web server processes may also communicate with an application data request handler (Java Servlets, services, daemon processes, linked libraries, and/or the like) to receive and process requests for application (often dynamic) data.
  • Communication between functional blocks in the system may be via one or more communication channels such as an internet service provider, a network (Internet, intranet, extranet, wireless, VPN, Blue Tooth, telephone network, LAN, WAN), a network interface between a published external access point and a web server, point of interaction device (smart card system, point of sale device, personal digital assistant, cellular phone, kiosk), and/or any other means of communication.
  • One or more communication channels may include internal server communication channels that carry data from a port to the web server (such as an inter-process communication (IPC) channel).
  • IPC inter-process communication
  • One or more communication channels can use sockets, CORBA, RMI, MQSeries, and messaging protocol (XML, ASN, proprietary).
  • One or more communication channels may include any system for exchanging data or transacting business, such as any hardware and/or software communication medium (telephone, modem, digital subscriber line, a global computer network, a wired link, a wireless link, any utility link), the Internet, an intranet, an extranet, WAN, LAN, and satellite communications.
  • One or more communication channels may be implemented as any type of network, such as open network, secured network, an interactive television (ITV) network.
  • One or more communication channels may be one network or multiple independent networks.
  • any databases, systems, or components of the present invention may consist of any combination of databases or components at a single location or at multiple locations, wherein each database or system includes any of various suitable security features, such as firewalls, access codes, encryption, de-encryption, compression, decompression, and/or the like.
  • the present invention could be used to validate data with a user-side scripting language, such as JavaScript or VBScript.
  • the present invention could be used in conjunction with any type of personal computer, network computer, workstation, minicomputer, mainframe, or the like running any operating system.
  • the network may be a public network (insecure and open to eavesdroppers) or a secure network.
  • Various systems and servers are suitably coupled to the network via data links.
  • a variety of conventional communications media and protocols may be used for data links.
  • a connection to an Internet Service Provider (ISP) over the local loop is typically used in connection with standard modem communication, cable modem, Dish networks, ISDN, Digital Subscriber Line (DSL), or various wireless communication methods.
  • ISP Internet Service Provider
  • the various systems might also reside within a local area network (LAN) which interfaces to the network via a leased line (T 1 , D 3 ).
  • LAN local area network
  • T 1 , D 3 leased line
  • the present invention is illustrated as pertaining to a system of electronic commerce, such as transactions running over the Internet. Many applications of the present invention could be formulated.
  • the system could be used to authenticate users of a computer system, to activate a passcode system, to access a restricted service or network, to access a building or other restricted area, automobile security and access, or any other purpose.
  • the system may also be used to access on-line services, kiosk services, Point of Sale (POS) terminals, Automatic Teller Machines (ATMs), and/or the like.
  • POS Point of Sale
  • ATMs Automatic Teller Machines
  • a user computing unit, another computing system, and/or the like may be interconnected via a second network, such as a payment network.
  • the payment network represents existing proprietary networks that presently accommodate transactions for credit cards, debit cards, and other types of financial/banking cards.
  • the payment network is a closed network that is assumed to be secure from eavesdroppers.
  • the system may communicate the data to the user using at least one protocol in at least one format.
  • the system may configure the data in a format and communicate the data to the user using a protocol.
  • the system and the user may have a predetermined protocol and format in order to facilitate the communication of the data between them.
  • Exemplary protocols include hyper text transfer protocol (http), secured hyper text transfer protocol (https), file transfer protocol (FTP), secure electronic mail, a network, remote method invocation, distributed component object model, enterprise java bean, and/or socket communication.
  • the system may be implemented with TCP/IP communications protocols, IPX, Appletalk, IP-6, NetBIOS, OSI or any number of existing or future protocols.
  • Exemplary formats include extensible markup language (XML), name value pair, any custom format, any industry standard format, and/or the like.
  • XML extensible markup language
  • name value pair any custom format
  • any industry standard format any industry standard format, and/or the like.
  • Applied Cryptography please review a text written by Bruce Schneier entitled “Applied Cryptography: Protocols, Algorithms, And Source Code In C,” published by John Wiley & Sons (second edition, 1996), which is hereby incorporated by reference. Specific information related to the protocols, standards, and application software used in connection with the Internet may not be discussed herein.
  • Association of certain data may be accomplished through any data association technique known and practiced in the art.
  • the association may be accomplished either manually or automatically.
  • Automatic association techniques include a database search, a database merge, GREP, AGREP, SQL, and/or the like.
  • the association step may be accomplished by a database merge function, such as using a “key field” in data tables.
  • a “key field” partitions the database according to the high-level class of objects defined by the key field.
  • a certain class may be designated as a key field in both the first data table and the second data table, and the two data tables may then be merged on the basis of the class data in the key field.
  • the data corresponding to the key field in each of the merged data tables is preferably the same. However, data tables having similar, though not identical, data in the key fields may also be merged by using AGREP.
  • the association of XML data is done using Document Type Definition (DTD) and schemas.
  • DTD Document Type Definition

Abstract

An appraisal system, method, and apparatus for property appraisals including a collector system, an appraisal database, an accounting system, and a scoring system. The collector system gathers data associated with a property and provides the data to the appraisal database. The collector system also reviews, edits, corrects, validates, and formats the data. The scoring system uses the collector system and appraisal database to access and analyze the data to calculate a score associated with the property. The score is calculated using one or more of a zone and market group associated with the property. The scoring system maps the score to one or more comparable sales of one or more other properties based on one or more of the zone and market group in order to generate an appraisal report for the property.

Description

    RELATED APPLICATIONS AND CLAIM OF PRIORITY
  • This patent application claims priority to and is a Continuation Patent Application of United States non-provisional patent application Ser. No. 12/147,193 (filed Jun. 26, 2008), which claims priority to, and incorporates by reference, U.S. provisional patent application 60/947,163, titled System, Method, and Apparatus for Property Appraisals (filed on Jun. 29, 2007).
  • FIELD OF INVENTION
  • The present invention generally relates to property appraisals, and more particularly, to a system and method for quickly and accurately appraising one or more pieces of property in connection with valuation and appraisal of the property.
  • BACKGROUND
  • Property appraisals are a way to value a particular piece of real property during buying, selling, taxation, or exchanges of property. Appraisals are used during each of these processes and also during mortgage and lending transactions.
  • Property appraisals can be cumbersome, time-consuming, and inaccurate. Property appraisers typically appraise one property at a time, rather than multiple properties. A property appraisal may take 5-10 days, because an appraiser usually visits the property personally to measure its value. Alternatively, the property may not be physically inspected, which can make the appraisal inaccurate. Property values vary based on supply and demand as well as physical characteristics such as size, amenities, parking, view, and condition. As such, value has typically been measured by an appraiser's individual opinion after conducting property specific research. Research time delays the customer's buying or selling process. Also, the opinion of an individual appraiser can be influenced by those involved in fraudulent financing schemes. Attempts have been made to deal with the long delay in receiving an appraisal using AVMs (Automated Valuation Models) and BPOs (Broker Price Opinions). While these tools do shorten the lag between the appraisal request and appraisal delivery, accuracy is compromised in both cases. It is rare that these appraisals include a visual inspection or photograph on the property in question. The lack of a photograph as well as lender pressure can substantially increase the possibly of fraud, which GSEs (Government Sponsored Entities) such as Freddie Mac™ and Fannie Mae™ are most concerned with when guaranteeing loans. It could be that as many as one-third of AVMs and BPOs are not used due to inaccurate values. Automated Valuation Models (AVMs) have attempted to value individual properties through pure statistical analysis or by updating the last selling price based on a time index. Property appraisals typically only include recent sales, so that a complete analysis of all sales is not considered during the valuation of property value. To avoid another savings and loan crisis, the United States Government may pressure lenders to revalue each mortgage where collateral is perceived to have fallen. Also, the closing period on residential properties in the United States has traditionally taken 60-120 days; however, there is growing acceptance of a 1-5 day closing period. This trend highlights the desire for appraisals to be delivered on very short notice without compromising accuracy.
  • It is desirable to analyze all sales to measure a property's value, rather than only the recent sales (e.g., three or four of the highest priced or most recent sales). It would be desirable to have an appraisal system that accurately reflects individual property differences and monitors the ever changing value of each property in advance of a particular transaction. By recording property differences and measuring value in advance of a transaction, the appraiser can work without pressure to meet a particular value estimate and the client requiring an appraisal does not have to wait for the research.
  • SUMMARY
  • Exemplary embodiments of the present invention include a system, method, and apparatus for property appraisals such as:
  • An appraisal system includes: a collector system configured to gather at least one of data and files associated with a property; and a scoring system coupled to the collector system and configured to analyze at least one of the data and files in order to calculate a score associated with the property, where the score is calculated using at least one of a zone and a market group associated with the property.
  • The appraisal system further includes an appraisal database coupled to at least one of the collector system and the scoring system and configured to receive at least one of data and files from at least one of the collector system and the scoring system in order to generate an appraisal report associated with the property.
  • The appraisal system further includes where the scoring system uses at least one of the score and market analysis software to calculate an appraisal report associated with the property.
  • The appraisal system further includes where the scoring system uses at least one of the score and market analysis software to calculate an appraisal value associated with the property.
  • The appraisal system where the scoring system uses at least one of the score and market analysis software to calculate at least one of an appraisal value and an appraisal report associated with the property.
  • The appraisal system where at least one of: a portable communication device in communication with at least one of the collector system and the scoring system collects latitude, longitude, and altitude coordinates of the property via a Global Positioning System; and a portable communication device in communication with at least one of the collector system and the scoring system generates at least one of a photograph and satellite image of the property via a Global Positioning System in order to place a verified latitude, longitude, and altitude in the center of the property.
  • The appraisal system where at least one of: the data and files include at least one of a photograph of the property, a parcel number associated with the property, and one or more comparable sales of other properties in the market group of the property; the data includes at least one of geographic area, type, style, and size range of the property; and a portable communication device configured to capture an image of the property and record audibly an address for the property to generate an audio clip that is associated with the image, so that the image can be tagged with a related address data field.
  • The appraisal system further includes where the data and files include at least one of a photograph of the property, a parcel number associated with the property, and one or more comparable sales of other properties in the market group of the property.
  • The appraisal system further includes where the data includes at least one of geographic area, type, style, and size range of the property.
  • The appraisal system further includes where the zone is defined by at least one of the market group, a community, a neighborhood, a city, one or more zip codes, a county, a state, a region, and a country.
  • The appraisal system further includes where the market group is defined by at least one of the zone, one or more attributes of the property, one or more comparable sales of other properties, a subdivision, a community, and a predetermined geographic boundary.
  • The appraisal system further includes where one or more properties with similar attributes are in the same market group.
  • The appraisal system where at least one of: the market group is defined by at least one of the zone, one or more attributes of the property, one or more comparable sales of other properties, a subdivision, a community, and a predetermined geographic boundary; and one or more properties with similar attributes are in the same market group.
  • The appraisal system further includes where at least one of: the data is at least one of gathered, reviewed, validated, edited, corrected, and formatted in order to be able to generate an appraisal report associated with the property; and a portable communication device in communication with at least one of the collector system and the scoring system collects latitude and longitude coordinates of the property via a Global Positioning System.
  • A method including the steps of: collecting data related to a first property; creating at least one of a zone and a market group for the first property; generating a score associated with the first property based on the data; mapping the score to one or more comparable sales of one or more other properties based on at least one of the score, the zone, and the market group; and generating an appraisal report for the first property based on at least one of the score, the zone, the market group, and mapping of the score to one or more comparable sales of one or more other properties.
  • The method further comprising collecting the data in at least one of text, image, audio, and video files.
  • The method further comprising at least one of: one or more of the files are imported into an appraisal database; address data fields associated with the files are tagged in the appraisal database; integrating the files into the appraisal database; and allowing access to the files in the appraisal database in order to generate an appraisal report.
  • The method further comprising at least one of: performing quality control of the data; notifying an appraiser or another entity if there is a quality control error associated with the data; at least one of formatting and validating the data; updating an appraisal value of the first property on a timely basis including at least one of daily, monthly, quarterly, and annually; and allowing access to the data in the appraisal database in order to generate an appraisal report.
  • A method including the steps of: requesting an appraisal of a property via an appraisal system, where the appraisal system includes a collector system, an appraisal database, an accounting system, and a scoring system; using the collector system to search for at least one of data and files related to the property; searching the appraisal database for at least one of data and files related to the property; creating an accounting invoice related to the property via the accounting system; analyzing at least one of the data, files, and accounting invoice via the scoring system to generate at least one of a score, a zone, and a market group; and preparing an appraisal report associated with the property instantly or within a predetermined period of time based on at least one of the score, the zone, and the market group.
  • The method further comprising at least one of: where the appraisal report includes at least one of an exterior based appraisal, an interior based appraisal, and a special request appraisal; and notifying an appraiser to perform a property or site inspection of the property based on the appraisal report.
  • The method further comprising at least one of: accessing the collector system to at least one of add, edit, review, and verify data including photographs associated with the property; at least one of viewing, reviewing, adding, editing, and verifying property data including photographs via a portable communication device; and accessing the collector system to at least one of add, edit, review, and verify the appraisal report associated with the property.
  • A method including the steps of: collecting data related to a first property; creating at least one of a zone and a market group for the first property based on the data, where each zone includes a plurality of market groups and each market group is generated based on at least one of geographic area, type, style, and size range of the first property; generating a score associated with the first property based on at least one of the zone and market group; mapping the score to one or more comparable sales of one or more other properties based on at least one of the score, the zone, and the market group; and generating an appraisal report for the first property based on at least one of the score, the zone, the market group, and mapping of the score to one or more comparable sales of one or more other properties.
  • The method further comprising mapping the score to one or more comparable sales of one or more other properties includes mapping the score to a cash value of one or more other properties based on at least one of the score, the zone, and the market group.
  • The method further comprising mapping the score to one or more comparable sales of one or more other properties includes mapping the score to a current market value of one or more other properties based on at least one of the score, the zone, and the market group.
  • A system, including: a host system including a processor for processing data associated with a property; a memory in communication with the processor for storing the data; an input digitizer in communication with the memory and the processor for inputting the data into the memory; and an application program stored in the memory and accessible by the processor for directing processing of the data by the processor, where the application program is configured to facilitate the steps of: collecting data related to a first property; creating at least one of a zone and a market group for the first property; generating a score associated with the first property based on the data; mapping the score to one or more comparable sales of one or more other properties based on at least one of the score, the zone, and the market group; and generating an appraisal report for the first property based on at least one of the score, the zone, the market group, and mapping of the score to one or more comparable sales of one or more other properties.
  • A system, including: a host server for accepting and processing data in connection with a property; an appraisal database in communication with the host server for collecting data on the property and using a collector system of the host server to gather at least one of data and files associated with the property; and a scoring system in communication with at least one of the host server, the collector system, and the appraisal database configured to analyze at least one of the data and files in order to calculate a score associated with the property, where the score is calculated using at least one of a zone and a market group associated with the property.
  • A system, including: a browser for submitting data to a web server, where the browser and the web server communicate via a communication channel and the data submitted to the web server includes information in connection with at least a first property; a collector system associated with the web server for collecting data related to the first property; an appraisal database associated with the web server and in communication with the collector system for collecting data on the first property; and a scoring system associated with the web server and in communication with at least one of the collector system and the appraisal database for creating at least one of a zone and a market group for the first property, generating a score associated with the first property based on the data, mapping the score to one or more comparable sales of one or more other properties based on at least one of the score, the zone, and the market group, and generating an appraisal report for the first property based on at least one of the score, the zone, the market group, and mapping of the score to one or more comparable sales of one or more other properties.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • Exemplary embodiments of the present invention are described in the context of the appended drawing figures, where like numerals designate like elements:
  • FIG. 1 illustrates an appraisal system in accordance with an exemplary embodiment of the present invention;
  • FIG. 2 illustrates an appraisal system with a scoring system in accordance with an exemplary embodiment of the present invention;
  • FIG. 3 illustrates a screen shot from running market analysis software on a scoring system within an appraisal system in accordance with an exemplary embodiment of the present invention;
  • FIG. 4 illustrates screen shots from running market analysis software on a scoring system within an appraisal system in accordance with an exemplary embodiment of the present invention;
  • FIG. 5 illustrates a screen shot from running market analysis software on a scoring system and a graphic illustration of comparable balancing of sales within an appraisal system in accordance with an exemplary embodiment of the present invention;
  • FIG. 6 is a flowchart illustrating a method for creating appraisal database 105 in accordance with an exemplary embodiment of the present invention;
  • FIGS. 7 and 8 illustrate mapping of comparable sales to GeoScore™ scores (or values) in accordance with an exemplary embodiment of the present invention;
  • FIGS. 9-14 illustrate exemplary embodiments of the graphical user interface of market analysis software 203 running on a portable communication device 1501 in accordance with an exemplary embodiment of the present invention;
  • FIG. 15 illustrates verification of data using GPS satellite map in accordance with an exemplary embodiment of the present invention;
  • FIG. 16 is a flowchart illustrating a method for analyzing one or more zones, market groups, and comparable sales using market analysis software 203 to generate a value for each property based on one or more scores in accordance with an exemplary embodiment of the present invention; and
  • FIG. 17 is a flowchart illustrating a method for analyzing one or more zones, market groups, and comparable sales using market analysis software 203 to generate a value for each property based on one or more scores and evaluate the value in accordance with an exemplary embodiment of the present invention.
  • DETAILED DESCRIPTION
  • The present invention of property appraisals incorporates physical inspection, timely analysis, and accurate appraising of properties. A property appraisal system 100 of FIG. 1 includes a collector system 101, an accounting system 103 (e.g., an accounting database), an appraisal database 105, and a scoring system 201 (in FIG. 2) in accordance with an exemplary embodiment of the present invention. Customer(s) 107 such as individuals, banks, insurance companies, and other entities can order residential and commercial real estate appraisals over the interne using appraisal system 100. Home ownership has significantly increased and as a result, the total volume of residential mortgages has significantly increased. This increase has produced a large pool of mortgage backed portfolios that banks buy and sell regularly (depending on risk exposures). Appraisal system 100 can be a one-stop shop for lenders requiring thousands of appraisals. A lender can subscribe to use appraisal system 100 for a predetermined period of time (e.g., the life of a mortgage), where changes in value of a property based on an appraisal can affect the value of the equity in the property (e.g., on a daily, monthly, quarterly, annual basis, or any other period of time). Appraisal system 100 can offer accurate and timely appraisal information without lenders calling on multiple appraisers in different regions. For example, consider a lender receiving a credit report for a fee from providers such as EQUIFAX™ or TransUnion™. Appraisal system 100 offers substantial efficiencies and economies of scale. Appraisal system 100 can generate appraisals for lenders and banks such as WELLS FARGO™, Citigroup™, WACHOVIA™, and Countrywide Financial™. These entities frequently reassess and trade large mortgage-backed debt securities for which they desire fast and accurate valuations. As the number of real estate transactions and inquiries grow, so does the desire that lenders, among other groups, receive accurate and up-to-date appraisal information quickly (e.g., instantaneously or up to 48 hours). Appraisers visit the property, collect data (e.g., common data), and complete an appraisal report 206. Appraisal system 100 consolidates existing common data and substantially ensures its accuracy as soon as new neighborhood data is available (e.g., providing an appraisal instantaneously or within 24-48 hours). Appraisal system 100 can shorten the time it takes to generate a USPAP (Uniform Standards of Professional Appraisal Practice) compliant appraisal from five-ten days to instantly or within seconds (or up to 48 hours depending on the detail desired). For example, appraisal system 100 can be used to appraise every home or property, on every street, one house or property at a time in entire cities including compliance with USPAP standards 1 and 2 (e.g., substantially faster and more accurately than a tax assessor could do). Appraisal system 100 can also update the value of each property on a timely basis (e.g., daily, weekly, monthly, quarterly, or annually).
  • Appraisal system 100 can improve accuracy of the appraisal to over 90% (compared to 65% from the next best alternative). Alternatively, appraisal system 100 can also be used with an order management system (e.g., Realink™ system) to give customer 107 a choice between an instant appraisal via appraisal system 100 or an appraisal delivered in the traditional way (e.g., over five-ten days). This flexibility allows appraisal system 100 access to lenders such as Fannie Mae™, WELLS FARGO™, and WACHOVIA™, all of whom use a network of 4,000 appraisers from time to time (e.g., via the Realink™ system or another order management system).
  • With reference to FIGS. 1, 2, and 6, property data is gathered, validated, edited or corrected, and formatted in order to be able to generate an appraisal report 206. Property data is gathered in text, image, audio, and video files (step 601). A trained professional (e.g., appraiser, photographer, videographer, or other) photographs (via a digital camera or video recorder) and prepares audio files about various pieces of property within a predetermined area. The appraiser, photographer, videographer, or other trained professional can be the same person or entity or separate. The photographer walks the street and carefully frames each photograph to view the most important aspects of the home, building, or other real estate. For example, a trained photographer moves through a zone (e.g., an area defined by a zip code) using a digital camera with voice recording capabilities and captures pictures of properties plus audio or sound files with the associated address of the property. The photographer can photograph each property randomly by recording audibly the addresses for each photograph in the zone. Typically, after taking the photograph, the photographer speaks the address of the property audibly into the camera's audio record function, which creates an audio clip that is associated with that particular photo image. The photographer can hear sound files while tagging the digital pictures with related address data fields. Files are imported into appraisal system 100 and address data fields are tagged (e.g., via the Internet or any network) (steps 603 and 605). For example, a photographer can send the data from the field (street) to collector system 101 using a Microsoft file (e.g., Access DB (or database)) or MYSQL (software). By using digital photography and state-of-the-art technology, collector software within collector system 101 imports and organizes the photographs and audio clips generated by a photographer in the geographic area. These files can include satellite photos and one or more maps, which permits accurate recording of GPS (Global Positioning System) coordinates (e.g., by clicking on a roof-top within the satellite photo). Digital photograph and sound files (to record the address) of each property are compiled into the collector system 101. Collector system 101 allows a user (e.g., an appraiser) to import text, image, audio, and video files via the Internet or any network.
  • Collector system 101 generates a database (e.g., GeoPic™ collector database 121) with the photograph of each property (and can include the text, image, audio or sound, and video files). This GeoPic™ collector database 121 of images and valuations can be used for the real estate, mortgage, and insurance industries, among others, grows over time with additional property information, and is updated constantly to maintain accuracy. Collector system 101 generates a central visual database (e.g., a comprehensive real estate photo library) from the GeoPic™ collector database 121 that allows users to view properties at the street level from their computer (e.g., where each property can be accessed by address). Photographers take pictures of all residential, commercial, and industrial properties within defined geographic areas (e.g., zones). Images from these zones are compiled into a central visual database (e.g., a GeoPic™ collector database 121) within collector system 101. The GeoPic™ collector database 121 is a visual database of residential, industrial and commercial properties in major cities across the United States (or any other country, state, region, or area). Using the GeoPic™ collector database 121 cuts costs and improves efficiencies for appraisers using appraisal system 100 who traditionally have had to proceed with this often arduous process on their own. Collector system 101 offers the real estate market an affordable and efficient alternative to traditional property evaluation methods. The central visual database within collector system 101 reduces and often eliminates the “picture taking” time and expense currently experienced by appraisers, real estate agents, and others who require visual images of property. The central visual database allows qualified users access to an enormous property inventory and information instantly or within seconds. The central visual database can also include a Visual Yellow Pages (VYP) (e.g., where appraisal system 100 partners with Yellow Pages™ directories and online mapping sites such as Google™, YAHOO™, and MAPQUEST™). As such, local businesses can post interior pictures of their stores and operations via such online directories, so that appraisers and customer(s) 107s can have access to more detailed information. Such a central visual database can be used in various other industries including police department, fire department, ambulance, city planning, city engineering, business planning, business management, retail location studies, construction bids and quotes, marketing of home improvement materials, marketing of retail business service (such as interior virtual tours of retail shops and services that link to the exterior photo), and GPS (Global Positioning System) navigation systems (e.g., showing a photo of the destination).
  • Quality control of files and data is performed via appraisal system 100 (e.g., text, image, audio, and video files in collector system 101 and/or property data in appraisal database 105 can be reviewed, checked, verified, or otherwise evaluated (e.g., in FIG. 14)) (step 607). Images are uploaded by the collector software associated with GeoPic™ collector database 121 to quality control personnel and collector system 101. After quality control and/or review by the personnel, the images within collector system 100 become readily available for use by appraisal system 100. A quality control measure checks each photograph (and can check the text, image, audio or sound, or video files) for incorrect address, description, or tax information (such as against a county assessor's information). The quality control also includes review of photographs, text, image, audio, or video files to prevent violation of privacy laws (e.g., disclosing confidential information, identification information or images, or other types of data or information). For example, review of photographs, text, image, audio, or video files can include removing or eliminating personal identifiers (e.g., license plate numbers from cars in the file, names visible on or around the house, people in or around the house), identifying symbols (e.g., garbage on the lawn, unique structures on or around the property), or other undesirable information (e.g., poor photograph quality, poor framing of photograph, or other). A database or data (e.g., in an HTML (HyperText Markup Language) file) either within the appraiser's portable communication device 1501 or within collector system 101 (e.g., GeoPic™ collector database 121) is quality checked. A notification of quality control failures or errors can be sent to the user (e.g., via an automated email) allowing the user to correct the failure or error (e.g., take another photograph, record video, or correct other data). Collector system 101 performs various address matching and formatting (e.g., in accordance with the United States Postal Service standards or another desired standard). Collector system 101 formats and validates each address for each photograph (e.g., photographs can be held on a file server). For example, formatting can include meeting United States Postal Service postal standards. Validating can include checking the property data against a county assessor's parcel data (e.g., in SQL (Structured Query Language)). The photograph (and optionally the text, image, audio or sound, or video files) of each property along with the formatted address information is integrated with each property's parcel information (e.g., a county assessor's parcel data). Any failures or errors in the matching, formatting, or validating process are recorded, researched, and corrected.
  • Appraisal system 100 notifies the appraiser or another entity if there is a quality control error (step 609). Appraisal system 100 (e.g., via collector system 101) formats and validates the files and data (step 611). Appraisal system 100 (e.g., via collector system 101) integrates the files and data into appraisal database 105 (step 613). Appraisal system 100 allows access to the files and data in appraisal database in order to generate one or more appraisal reports 206 (step 615). By photographing, accessing data, performing quality control, validating and formatting data, appraisal system 100 creates appraisal database 105 for use in appraising properties.
  • Appraisal system 100 creates appraisal database 105 that includes data to fill in a variety of appraisal forms. Many industry standard forms do not require an interior inspection, but such standard forms may require detailed research on market conditions for a particular property. In these instances, appraisal system 100 can deliver a USPAP compliant appraisal report 206 instantly by automatically transferring the appraiser's research into the appropriate form at the moment of order. This research (e.g., data) could include property attributes and photographs of the subject property and all comparable sales along with the appraiser's research, comments, adjustments, final value estimate, and signature for the subject property. Where a particular data point is not contained in the appraisal database 105, the local appraiser can collect that information after the appraisal order. For example, the appraisal database 105 is compatible with the Uniform Residential Appraisal Report (URAR) form. The URAR is a standard appraisal form used and recognized by the real estate industry for full interior appraisals that are completed. Typically, each real estate appraisal in the United States, for example, requires an appraisal by a certified appraiser whose work is USPAP (Uniform Standards of Professional Appraisal Practice) compliant. Without this appraisal, lenders typically cannot transact with customer 107 nor will lenders be able to trade their loan portfolios with other parties. Thus, it is desirable to have appraisals that are USPAP compliant.
  • Appraisal system 100 uses a hotloading cycle to retrieve data from collector system 101 (e.g., from a collector database 121) and/or appraisal database 105 and automatically populate appraisal and/or property valuation form to be used for a given property appraisal in the appraisal system 100 (e.g., the property appraisal can be delivered immediately to customer 107). A hotloading cycle can include a request for interior inspection of a property (e.g., customer 107 sends a request to appraisal system 100 for the inspection), appraisal system 100 receives the request and sends a hotload report to an appraiser (e.g., after step 120), the appraiser does a physical inspection of the property, and the appraiser sends the inspection report to appraisal system 100 or directly to customer 107. Appraisal system 100 can receive the request and send a hotload report to an appraiser. The research which has typically already been completed is imported into appraisal database 105 (e.g., traditionally used for appraisal report preparation). The appraiser can do a physical inspection of the property and send the inspection report (e.g., hotload report after step 120) to appraisal system 100 or directly to customer 107. Validation can also include correcting any errors within the county assessor's parcel data (e.g., editing the data within appraisal database 105 during the hotloading cycle).
  • It would be desirable for appraisal system 100 to measure property values per city, zip code, or neighborhood. Each zone can be broken down or segmented into one or more market groups (e.g., by a local appraisal expert owning rights to that zone). For example, a particular market group may include the properties that are almost identical to one another within a particular neighborhood, a single zip code, or multiple zip codes depending on the property being valued. For example, a particular market group may include a particular neighborhood within a zip code, a single zip code, or multiple zip codes depending on the property being valued. A market group can be segmented by market name, such as by a subdivision, a community, or a predetermined geographic boundary. Appraisal system 100 identifies market groups by organizing all the different properties within a zone into groups (such as 1-level, 2-level, split-level, contemporary, and the like). Appraisal system 100 can further separate each type of group by size groups (such as 1600-1900 square feet in one group, 1900 to 2200 square feet in a second group, and so on). Appraisal system 100 can further separate these groups by external features (such as view, location on a busy road or golf course, school district, and the like). In one example, the identification of market groups and subgroups results in the identification of approximately 30-75 market groups within one zone (e.g., 40 on average). In FIG. 4, properties can be distributed into market groups based on similarity of a number of property attributes (e.g., 4 key property attributes: 1. same geographic area; 2. same type of property; 3. same style of property; and 4. similar size range of property). Each property is assigned a value for these four attributes and like properties with the same rating are grouped together to form a market group. The local appraiser expert selects a unique set of relevant comparable sales for each market group, which are utilized to determine the high and low end of value within the market group. The value of each home within such group is adjusted to reflect the differences observed by the scoring system. Market groups can be adjusted and updated periodically (e.g., every 30 days) by analyzing sales and listings (e.g., property listings, MLS (Multiple Listing Service) listings, or other) that have transpired during that period. If there is no activity for a particular market group for a period of time (e.g., 30 days), then values can still be adjusted based on data from other groups which support an overall trend in value (either up or down). An inactivity report can be generated for this market group, if desired.
  • Appraisal system 100 organizes the text, image, audio, and video files (e.g., photograph and sound files), formatted address information, and each property's parcel information. Appraisal system 100 uses the text, image, audio, and video files (e.g., photograph and sound files), formatted address information, and each property's parcel information to score and sign-off (e.g., validate) each property's value (e.g., in a zone). Appraisal system 100 integrates information about a large number of properties per zone (e.g., per neighborhood, community, city, county, state, region, or country) and uses this information to provide fast, accurate property appraisals for each property. Appraisal database 105 is populated with photographs and data about each property for each zone. Appraisal system 100 can access or purchase common data from title insurance companies (such as First American™ and Fidelity National Financial™) as well as from county tax assessors, MLS (Multiple Listing Service) and regional realtor boards. Appraisal system 100 can also access each appraisers existing data. For example, a zone can be defined by one or more zip codes. Zip codes change over time, although the boundaries for each zone do not need to. In one example, each zone is identified based on a census (e.g., the 2000 census in the United States) with an average of 10,000 properties per zone (although there can be any number of properties in a zone).
  • In one example, appraisal system 100 organizes the files (e.g., photographs), formatted address information, and each property's parcel information into an online appraisal application. To address the magnitude of appraising millions of homes across a country (e.g., the United States), addresses are segmented into geographic zones that contain approximately 10,000 addresses each. Zones are assigned (e.g., sold) to local appraisers who can aid in the analysis and specialize in understanding the value of every property in their zone. Each appraiser can add detailed property-specific data to each property within their zone. Each appraiser can aid in maintaining each property's data current and adding new data for each property as it becomes available. Each appraiser can go into the field and judge each property subjectively and rank it under a number of predetermined, recognized appraisal fields. These fields are recorded in appraisal database 105. It is each appraiser's subjectivity and physical inspection of each property that allows appraisal system 100 to provide accurate valuation of each property. Appraisers that purchase one or more zones from appraisal system 100 often have their own teams of appraisers that collect data and prepare appraisals over the traditional five to ten day time frame. Appraisal system 100 represents a consolidation opportunity of a very fragmented industry, providing a level of standardization sought by regulators and institutional users of appraisals. An appraiser with already substantial volume would be able to purchase zones, which they consider to be assets, and increase their own business as a result. The appraiser can generate added revenue as the customer base of appraisal system 100 grows to include high-volume regional, national, and international lenders that request many appraisals at a time. Appraisal system 100 provides added efficiency to the appraiser, which in turn can allow that appraiser an opportunity to lower overhead by reducing their appraisal personnel. Appraisal system 100 uses the files (e.g., photographs), formatted address information, parcel information and a physical appraiser's inspection of each property from the street to score and sign-off (e.g., validate) each property's value. Appraisal system 100 integrates the data and value estimates from thousands of zones into one comprehensive, nationwide database (e.g., appraisal database 105) to provide fast, accurate property appraisals for any property customer 107 may require or desire an appraisal for.
  • In one example, customer 107 logs into appraisal system 100 via the Internet or any network and requests an appraisal of a property (step 102). A search (e.g., address search, parcel number search, or other identifying data search) is performed in connection with the property (step 104). Once the property is found, customer 107 can view one or more photographs and property data in collector system 101 (step 106). If customer 107 wants an appraisal for the property, customer 107 can request an appraisal report 206 (step 108). Customer 107 can select the type of format for appraisal report 206 (e.g., an exterior based appraisal, an interior based appraisal, an exterior and interior based appraisal, a special request appraisal, or other) and this request is sent to collector system 101 (step 110). At any time, an appraiser can add, edit, or verify data and photographs associated with the property (step 122). For example, the appraiser can use software (e.g., Value Analytics™ software (e.g., ValueXplorer® solution or Strategic Management and Business Consolidation & Planning tools) or Microsoft Performance Point Server™ solution using Microsoft SQL Server and Sharepoint Server) compatible with a portable communication device 1501 to view, add, edit, or verify property data and photographs (e.g., even while at a property or site inspection). Collector system 101 assembles the appraisal data from appraisal database 105 and creates an accounting invoice via accounting system 103. Accounting system 103 can track which customer or entity buys data from the appraiser or appraisal system 100 (e.g., which banks or other customers are buying data from the appraiser). Scoring system 201 analyzes at least one of the appraisal data, photographs, and accounting invoice, and prepares appraisal report 206 (step 112) instantly or within a predetermined period of time (e.g., a forms generation web server assembles data from collector system 101 and appraisal database 105 to generate appraisal report 206 instantly or immediately after another inspection by the appraiser). Scoring system 201 can be separate from appraisal database 105 (as illustrated in FIG. 1) or scoring system 201 can be a part of or within appraisal database 105. Appraisal report 206 is delivered instantly or within a predetermined period of time to customer (107) (e.g., appraisal report 206 can be delivered electronically to customer 107 via the Internet or any network). Upon preparing appraisal report 206 (step 112), an appraiser may edit the report using web based software (e.g., ACI™ software (e.g., ACI Collection™ software, ACI Sketch™ software, ACI365™ software, Lighthouse™ software, or CRAL Collection™ software), ZOOware™ software, or the like) (e.g., via a hotloading cycle) (step 114). As such, appraisal report 206 can be the original appraisal report from step 112 or an edited or revised appraisal report after a hotloading cycle from step 120. If the web based software determines that a property or site inspection is required, then the web based software notifies the appraiser to do a property or site inspection (step 116). The appraiser typically visits the property or site and sends any required information or data to collector system 101 via a portable communication device 1501 (e.g., Personal Data Assistant or Personal Digital Assistant (PDA) (e.g., Blackberry™ device, Treo™ device, or Apple iPhone™ or iPod™), cellular telephone, laptop computer, mobile device, converged device, handheld device, handheld computer, “Palmtop” device, handheld, and the like) (step 118). An edited appraisal report 206 is prepared and sent to customer 107 (step 120). Alternatively, the appraiser may edit the report (step 114) and send the edited report directly to customer 107 via a portable communication device 1501 (e.g., even while the appraiser is at the property or site inspection).
  • FIG. 2 illustrates an exemplary embodiment of scoring system 201 in accordance with an exemplary embodiment of the present invention. Scoring system 201 uses data from at least one of collector system 101, accounting system 103, and appraisal database 105 to score each property. Appraisal system 100 includes scoring system 201 to aid in appraising each property. Each home in a zone is inspected and detailed market analysis is performed in order to provide accurate and supported property values in a more timely fashion than traditional appraisal methods. A GeoScore™ score attributes a particular “score” to a property and that score can be cross-referenced or mapped with a range of all comparable sales, valuations, appraisals, and photos for that particular zone (not just three or four properties as is the case with traditional appraisal methods) (as in the examples of FIGS. 7 and 8). An appraisal using a GeoScore™ score is current (e.g., instantly or to within six months) and can be downloaded instantly by customer 107 for a fee per appraisal (depending on the location of the property and detail desired). Should more detail be desired, the appraiser for the related zone can update the appraisal and have that information sent to customer 107 instantly or within a 24-48 hour time frame.
  • Scoring system 201 uses various characteristics of a property that have been determined to affect a property's market value (e.g., from an exterior or interior inspection). Each characteristic of each property is rated by a local appraiser expert and given a score (e.g., from a 1 to a 10 with 1 being lowest and 10 being the highest/best) to create an overall score (e.g., a GeoScore™ score, such as ranging from 0 to 100). This scoring process 202 (e.g., GeoScoring process) associates one or more ratings with a piece of property. The characteristics include one or more of view, location, site, condition, parking, quality, utility (e.g., size of house), environment friendly features (e.g., solar panels, exterior siding), amenities, basement, extras, and garage. For example, a property with the following scores: view=4, location=5, condition=6, quality=5, utility=7, environment friendly features=2, amenities=4, basement=0, and garage=2 has an overall score of 35 out of 90.
  • In one example of FIG. 17, once one or more properties have been placed in one or more market groups, each property in a market group can be compared against demonstrated property sales or listings of homes within that market group (step 1701). Scoring system 201 rates six (6) characteristics of a property that have been determined to affect a property's market value. Each characteristic of each property is rated by a local appraiser expert and given a score to create an overall score (e.g., a GeoScore™ score, such as ranging from 6 to 60). The characteristics include view, site, condition, parking, basement, and extras. For example, a property with the following scores: View=4, Site=5, Condition=6, Parking=5, Basement=7, Extras=6 has an overall score of 33 out of 60. Additional rating categories may be added. In the past, the appraisal industry did not have a consistent method to record these characteristics or features consistently from property to property; however, scoring system 201 can provide such a method. The appraisal industry simply uses words (e.g., Good, Average, Very Good) and records the difference between two properties in terms of dollars only. As these dollar values change with supply and demand, all comparison ability between a sample sale price and a property being appraised is lost over time. Scoring the properties with numeric values using scoring system 201 (rather than just in terms of dollars) allows for automated comparison. Each increment on the scale from 1 to 10 can be assigned a value and these values can be gleaned from actual sales transactions that are occurring everyday. Key market or value indicators (e.g., location, view, site, condition, parking, or other) are rated for each property on a scale from 1 to 10 (step 1703). For example, 1 is the lowest or worst in the market group and 10 is the highest or best in the market group (e.g., 5 can be considered typical). Dollar values can be attributed to each notch in the ratings scale to value property (step 1705). For example, if the appraiser determines that the difference between a home in average condition and one in good condition is $5000 the scores may be 5 and 6 respectively and the appraiser assigns a value of $5000 to one notch on the scoring grid. This appraiser's judgment can be applied consistently across the entire market group. Each of the comparable sales or listings that have been balanced for the market group can be compared against all of the properties in the market group (step 1707). The dollar values can be used to adjust the selling price of each sale, so that the sale generates a value indication for every property in the market group (step 1707). Each sale or listing can be provided its value indication for each property in the market group (step 1709). For example, if there are 10 sales being considered in the market group, then every property in the market group has 10 possible value indications. Value indications are weighted based on the degree of adjustment desired or required (step 1711). The degree of adjustment includes the total absolute value dollar adjustment applied to the selling price of a comparable sale in order to arrive at a value for a particular property in the market group based on the difference in scores and dollars attributed to each score. Comparable sales with the lowest absolute adjustment percentage are typically given greater weight in the final averaging of all value indications. Appraisal database 105 includes a final value estimate for every property in the market group and a dollar based comparison between each property and all of the current sales and listings (step 1713). As new sales and listings occur, the appraiser replaces older sales with newer sales (e.g., in order to update the value of every home in the market group). The appraiser determines if the new sale is consistent with the market trend and that the sale is legitimate. New sales (e.g., as they occur) are compared against the value estimate then contained within appraisal database 105 as measured by the appraiser (step 1715). This comparison determines how accurately the appraiser measured the property's value before it actually sold. As such, the appraiser has feedback as to the appraiser's ability to accurately measure value. Examples of information used in scoring system 201 in accordance with exemplary embodiments of the present invention are illustrated in FIGS. 3, 4, and 5. For example, in FIG. 3, data about each property can be recorded using numbers instead of words. A rating scale from 1-10 is employed for any number of characteristics (e.g., 7 factors). In this example, a “1” represents the worst while a “10” represents the best relative to competing properties in the area. In FIG. 5, photography and scoring process 202 are performed and one or more market groups are determined (step 502). Step 502 is used to create one or more GeoScore™ scores for a property. In FIG. 5, sales from one market group in a predetermined period of time (e.g., past 12 months) are displayed along with their respective GeoScore™ scores (e.g., high scoring homes should have sold high). An appraiser assigns a dollar value to each variable (e.g., in FIG. 5, the difference between GeoScore™ score 3 and 4 might be $3000). In the example of FIG. 5, scoring process 202 is used to explain how each selling price relates to the normalized value trend. If a property sells high and is scored high, the scoring process 202 indicates that it makes sense. If the property sells high and the appraiser cannot justify the price in the GeoScore™ score, then the sale can be recorded as non-arms length sale.
  • With further reference to FIGS. 1, 2, and 16, appraisal system 100 analyzes one or more zones, market groups, and comparable sales using market analysis software 203. Sales are searched and selected by the appraiser (e.g., appraiser studies a map of one or more zones and determines where property values change, such because of location differences (step 1601)). Scoring system 201 includes market analysis software 203 (e.g., Value Analytics™ software (e.g., ValueXplorer® solution or Strategic Management and Business Consolidation & Planning tools) or Microsoft Performance Point Server™ solution using Microsoft SQL Server and Sharepoint Server), which associates similar market groups with each other and makes it easy to find and analyze all comparable sales or listings for sale of a property. The appraiser labels each defined geography with a market name associated with a market group (step 1603). A property is reviewed and each property is assigned a particular market name (e.g., properties are reviewed on-line using market analysis software 203 and each property is assigned a particular market name) (step 1605). The appraiser identifies or confirms various characteristics of the property (e.g., the type of property, style of property, and size bracket for square footage of living or occupancy area of the property) (step 1607). One or more properties are grouped into a market group (e.g., properties are automatically grouped based on similar characteristics and the grouping is called a market group (where properties directly compete)) (step 1609).Once properties have been placed into market groups, certain market groups may be similar enough to be associated with each other to offer additional pools of comparable sales. Market analysis software 203 can provide the appraiser with a list of all potential comparable sales applicable for a given market group. The appraiser enters the relevant variables for comparison. These relevant variables include a value per square foot of floor area (e.g., the value can be in dollars ($) or a score) and an opinion of influence value for each of the scoring features (e.g., the value can be in dollars ($) or a score). As such, market analysis software 203 can reconcile the various different selling prices with each other (e.g., describe why one property sold for more than another property). The opinion of influence value can be the dollars applicable for each notch in the scoring scale from 1 to 10. One of the techniques to reconcile sales is to adjust each selling price upward (using the variables entered by the appraiser) to reflect the value of a home that is rated 10 for all scored features and then adjust each selling price downward to reflect a home that is rated 1 for all scored features. If each sale provides a similar upper and lower end score, then the variables entered by the appraiser are proven to be valid and supported by the market. A second technique to reconcile sales is to compare all sales against a value trend line that is generated and stored periodically in appraisal database 105. With the value trend line approach each selling price is adjusted to indicate a normalized value. Normalized value is the value of an average home that has all scoring features rated as five (5) (or what is typical of that market group) and where the property's floor area is exactly the middle of the size range. For example, the normalized values provided by each sale are considered accurate if they are within about 5% above or below the value trend line for the prior month. Of course, any percentage above or below the value trend line can be set as the normalized value(s). The value trend line may be the mean average of all normalized values each month. With this approach, appraisal database 105 can accurately track the change in values over time due to supply and demand of the real estate market. The trend line approach also allows the appraiser to identify sales that appear to be non-arms-length (sold well above or below what is typical for that market group).
  • One of the more difficult aspects to appraisal involves proving or supporting adjustments by market indicators. Both of the above methods for reconciling disparate selling prices can be used to prove and support the appraiser's adjustments for condition, parking, site, extras, and the like. One or more property sales and listings within a market group are determined and can be displayed along with the value indicators (e.g., selling price or listing price) of each property sale and listing (step 1611). Using Ceterus Parabus analysis (i.e., all things being equal), market analysis software 203 can isolate just one of the variables and provide support for that particular adjustment. Market analysis software 203 provides support for the opinion of influence value entered by the appraiser and helps the appraiser identify when that opinion of influence value is not indicative of market conditions. Both of the methods for reconciling selling prices use a mathematical form or method commonly referred to as linear regression.
  • The appraiser can balance the market or sale indicators with each other by reviewing and adjusting how each market or sale indicator is scored (e.g., if the property sold high then the score can be high too) (step 1613). One or more properties can be sorted to generate a benchmark and a value trend line (step 1615). For example, one or more properties can be sorted (e.g., by date of sale) and each sale defines the price of a benchmark (or typical) home at that point in time (step 1615). The benchmark values produce a value trend line to accurately explain how property values are changing over time (step 1615). Property sales and listings can be explained or discarded and sales compared within a market group to establish their respective value with respect to their respective scores (step 1617). Once property sales and listings are explained or discarded (e.g., because they appear to be non-arms length sales), sales can be compared to all non-sold homes in the market group to establish a value for each home based on each of their respective scores.
  • Examples of various aspects (e.g., graphical user interface) of market analysis software 203 running on a portable communication device 1501 (e.g., a Personal Digital Assistant (PDA) 901 with a detachable stylus 902) are illustrated in FIGS. 9-14.
  • In one example, as employers often assist employees with relocation, accurate appraisals are becoming a growing segment of the appraisal market. Employers across the United States desire a solution that quickly compares the value of the employee's existing property to one in the new location. Appraisal system 100 offers a solution that allows the employer to purchase an appraisal for the employee's existing home and then performs a search within appraisal system 100 (e.g., within appraisal database 105) for a comparable property in the new region. This provides appraisal system 100 with two appraisal sales for the same customer 107.
  • Appraisal system 100 can be used in any country in the world. Also, foreign banks have shown interest in various other countries' marketplaces given those countries' higher quality mortgage portfolios. For instance, the Canadian sub-prime market consists of about 5% of outstanding mortgages compared with about 20% in the United States.
  • A zone can be sold to an appraiser or any other entity, retained by appraisal system 100, or licensed to an appraiser or other entity. Qualified appraisers can purchase one or more zones for a fee. Zone sales can be via a web-based platform or otherwise. Appraisal system 100 can split any revenue for all products and services sold pertaining to that particular zone with the zone owner. An appraiser can buy any number of zones, where each zone purchased involves a one-time fee that automatically renews after a period of time (e.g., five years). Such a fee can be subject to negotiated changes with respect to royalty provisions or considerations made if the appraiser is dismissed for poor performance. Typically, appraisal system 100 must approve any resale or transfer of a zone by the zone owner. To aid in evaluating each appraiser, characteristics of each appraiser can be considered (e.g., appraisers with a market share of 3-5% in their respective regions, licensed or certified appraisers, or other relevant characteristics).To aid in a property valuation, a licensed or certified appraiser can be assigned to a zone, the photographing of each property can be performed, and appraisal system 100 can perform a market analysis and scoring associated with, the property. Appraisal system 100 can calculate an appraisal value for any property in the United States or other countries.
  • In one example, the sale of a zone can produce revenue for appraisal system 100. Appraisal system 100 sells a zone to an appraiser for approximately US$9,000. The appraiser provides a deposit of US$500 to appraisal system 100. After a 48 hour cancellation window (or any other time period) from the time of the sale, appraisal system 100 recognizes the deposit immediately as revenue. The unpaid balance due from the appraiser (US$8,500) is paid within 30 days to appraisal system 100 and usually upon receipt is it reflected as deferred revenue on the balance sheet. Costs are expensed as they are incurred while appraisal system 100 typically recognizes deferred revenue when all photos are complete and data is populated for that particular zone. This usually occurs 8-12 months from the date that appraisal system 100 receives the unpaid balance; however, it can be much sooner.
  • When properties that are valued in appraisal system 100 sell, the actual selling price is incorporated into appraisal system 100 as a part of an appraiser report card 205 that evaluates the appraiser's appraisal value and appraisal report 206. Appraiser report card 205 provides a feedback loop into appraisal system 100 via appraisal database 105, so that actual sales price can be compared with the measured property value to verify accuracy of or adjust (to help tune) scoring system 201 characteristics. For example, if a location was scored as a 5, but the sales price analysis in appraiser report card 205 indicates that the location for a particular property should have been a 7, then this feedback loop provides error correction for other property appraisals. As such, scoring and any changes are synchronized back to appraisal database 105 and market analysis software 203, so that updated and accurate appraiser report cards 205 can be made.
  • Once collector system 101 has generated data into collector database 121 and appraisers are using collector database 121 to produce one or more appraiser report cards 205, appraisal system 100 includes an ongoing data maintenance process. Maintenance of collector database 121 is desirable since lenders and other customer(s) 107 rely on immediate access to updated and accurate information. The ability to attract and retain appraisers includes quality control and the continuous improvement of appraisal database 105. Accuracy is desirable as well. The appraisers are continuously fine-tuning the appraisal value of each property within their respective zone(s) to consider various conditions (e.g., new construction, natural factors (e.g., floods, fire, and winds), and other conditions), which are a part of a property's value. Appraisal system 100 uses appraiser report card 205 for quality control personnel to continuously monitor appraisal accuracy by comparing posted appraisal values to real market transactions involving the same property. If there is a significant variation on too many property valuations in a specific zone, the appraiser or zone owner of that zone can be questioned as to why there are discrepancies and make modifications to the appraisal values accordingly.
  • Because property characteristics are changing regularly, photographs and descriptive ratings (e.g., attributes, score, or other information) of each property are regularly updated. Appraisal system 100 includes a process whereby data from collector database 121 can be exported to a portable communication device 1501, which can be physically carried into the field (e.g., geographic area). While in the field, the photographer or appraiser can view the information currently contained in collector database 121 and appraisal database 105 via a portable communication device 1501 and compare the information against the actual property physically being viewed from the street. This process verifies accuracy of the data in collector database 121 and appraisal database 105 while also generating work orders to collect new photographs, re-score the property, or correct errors right at the particular geographic location. The appraiser can, for example, view the current value estimate, photograph, and score for the property while also physically viewing the property itself.
  • For example, in FIG. 15, the appraiser can view a photograph or other data in the GeoPic™ collector database 121 while physically at a property location (e.g., a verified property at a given real-world address). A photograph 1502 in FIG. 15 changes as the appraiser clicks different markers on the GPS satellite map (e.g., via a portable communication device 1501, such as a PDA). The PDA application collects latitude, longitude, and altitude coordinates (e.g., GeoCode™ coordinates) when the appraiser clicks to record an inspection of the property. The appraiser verifies the existence of a real world address by collecting the latitude and longitude coordinates. The address of the property has corresponding GeoCode™ coordinates that shows where the appraiser was standing on the street during this physical inspection. The PDA application also records if the property (e.g., house) is on the right or left of the view relative to the waypath the appraiser is walking (e.g., right or left on the GPS satellite map in FIG. 15). When data is synchronized with appraisal system 100 (e.g., collector system 101), a GPS satellite map or view appears on a web-page as illustrated in FIG. 15. The appraiser can move the R (right) and L (left) markers onto the mid-point of the correct property (e.g., house). By dragging and dropping the GPS marker on top of the actual property the exact latitude, longitude, and altitude of every real world address on the street is verified (e.g., visually verified). A street view of the house is visible in FIG. 15 if there is any question. Software associated with the GeoPic™ collector database 121 re-calculates the latitude and longitude coordinates, so that the appraiser records and physically verifies the mid-point of every real world address of the property from the street. Once the address is verified, a U appears on the GPS satellite map. In this example of FIG. 15, the real world address at a particular physical location can be verified twice (e.g., once by the original photographer of the property and second by the appraiser verifying or checking the data). If the appraiser's physical inspection suggests that the condition has improved, the appraiser can adjust the rating for condition through the portable communication device 1501 and the portable communication device 1501 will display the new estimated value. When the portable communication device 1501 is synchronized with the appraiser's computer, all changes or work orders are automatically transferred back to collector system 101 (e.g., to collector database 121).
  • In summary, in one exemplary embodiment, photograph and property data for one or more properties are gathered (e.g., appraisal system 100 collects street photos of each property in a zone). Collector system 101 gathers photograph and property data for one or more properties and uploads the photograph and property data to one or more servers (e.g., collector system 101) in appraisal system 100. Collector system 101 checks each photograph and parcel data as quality control to aid in the accuracy of the information. Collector system 101 integrates the photograph and parcel data that passes the quality control into collector database 121 (e.g., merges the photos with existing parcel data and official government identifiers). Geographic areas are divided into one or more zones, market groups, or market names. Appraisal system 100 divides a geographic area into one or more zones, market groups, or market names (e.g., outlines competing properties in a market group). For example, ArcView™ GIS software (from ESRI) for visualizing, analyzing, creating, and managing data can be used to divide the geographic areas. Scoring system 201 uses the photograph and parcel data in collector database 121 along with one or more characteristics to calculate a score for each property (e.g., compares each property with all competing homes that have recently sold and establishes a current value estimate for each home). One or more characteristics associated with each property are analyzed and each given a value and this information is used to calculate a score for each property. Market analysis software 203 within scoring system 201 uses each score, market group information, and comparable sales for each market group to generate appraisal report 206. An appraisal report 206 is generated using the score for the property. Appraisal report 206 can be accessed (e.g., a bank can access appraisal report 206 via a portable communication device 1501). Appraisal report 206 can be used by an appraiser, customer 107, or any other entity desiring property value information. Appraisal report 206 can be adjusted depending on whether data needs to be updated or further information in association with that property is desired. The appraiser verifies the data a second time from the street and collects the latitude and longitude coordinates for each real world address in order to keep track of what properties have been completed. The appraiser or photographer network keeps property values current (e.g., monthly or any other period of time) and the property data and photo current (e.g., annually or any other period of time). Appraisal system 100 provides accurate, physical site-verified property data, where the data is independent, objective, and fully supportable.
  • The present invention may be embodied as one or more of a method, a system, a device, and a computer program; where each method, system, device, and a computer program can include software and/or hardware components. The present invention is described using block diagrams and flowcharts to illustrate means for performing the described functions of the method, system, device, and computer program. The computer program can include a computer-readable storage medium having computer-readable program code means embodied in the storage medium. The system can include a host system including a processor for processing data, a memory in communication with the processor for storing the data, an input digitizer in communication with the memory and the processor for inputting the data into the memory; and an application program stored in the memory and accessible by the processor for directing processing of the data by the processor. The application program can be configured to perform a method. The system can include various integrated circuit components, such as microprocessors, controllers, memory elements, processing elements, logic elements, and look-up tables.
  • The user of the system can be a consumer desiring to access an on-line service, access a restricted area, purchase and/or sell a product, service or other item of commerce, otherwise transact in commerce, and/or communicate with another entity. The user may alternatively be a merchant, a distributor, a supplier, a person, an entity, software, hardware and/or the like desiring to transact or otherwise communicate with a consumer, a merchant, a distributor, a supplier, a person, an entity, software, hardware and/or the like. The user may interact with the system via any input device such as a computing unit, keyboard, mouse, smart card reader, biometric system, kiosk, personal digital assistant, handheld computer (Palm Pilot®), cellular phone and/or the like.
  • A host may be one or more of the following: a server, a personal computer, a mainframe, a distributed network (the Internet), a web service, and/or the like.
  • A database call may include, e.g., back-up data, tracking information, and/or the like. A database may be any type of database, such as relational, hierarchical, object-oriented, and/or the like. Common database products that may be used to implement each database include DB2 by IBM (White Plains, N.Y.), any of the database products available from Oracle Corporation (Redwood Shores, Calif.), Microsoft SQL Server by Microsoft Corporation (Redmond, Wash.), or any other database product. Each database may be organized in any suitable manner, including data tables or lookup tables.
  • A browser may be a client computer, such as a machine containing interface software used by the user. The browser may include PC, MAC, cell phone, PDA, kiosk and/or the like containing internet browser software, and/or network user interface software.
  • A web server may include a data center, such as a centralized server with remote fail-over, a distributed data center patterned after a Web Services model, one or more servers configured to receive and respond to requests from the browser (such as one or more microcomputers or mainframes), and/or the like. The web server may also include web server processes (programs that receive and respond to requests, such as CGIs, Java Servlets, JSP, ASP). The web server processes may communicate with static content (text; graphics, sound files, video, and/or the like using HTML, WML, MIME defined files, and/or the like) via one or more communication channels (operating system supported file read on static content, data retrieval from a datastore, and/or the like). The web server processes may also communicate with an application data request handler (Java Servlets, services, daemon processes, linked libraries, and/or the like) to receive and process requests for application (often dynamic) data.
  • Communication between functional blocks in the system may be via one or more communication channels such as an internet service provider, a network (Internet, intranet, extranet, wireless, VPN, Blue Tooth, telephone network, LAN, WAN), a network interface between a published external access point and a web server, point of interaction device (smart card system, point of sale device, personal digital assistant, cellular phone, kiosk), and/or any other means of communication. One or more communication channels may include internal server communication channels that carry data from a port to the web server (such as an inter-process communication (IPC) channel). One or more communication channels can use sockets, CORBA, RMI, MQSeries, and messaging protocol (XML, ASN, proprietary). One or more communication channels may include any system for exchanging data or transacting business, such as any hardware and/or software communication medium (telephone, modem, digital subscriber line, a global computer network, a wired link, a wireless link, any utility link), the Internet, an intranet, an extranet, WAN, LAN, and satellite communications. One or more communication channels may be implemented as any type of network, such as open network, secured network, an interactive television (ITV) network. One or more communication channels may be one network or multiple independent networks.
  • Any number of conventional techniques may be used for data transmission, signaling, data processing, network control, and the like. For security reasons, any databases, systems, or components of the present invention may consist of any combination of databases or components at a single location or at multiple locations, wherein each database or system includes any of various suitable security features, such as firewalls, access codes, encryption, de-encryption, compression, decompression, and/or the like. The present invention could be used to validate data with a user-side scripting language, such as JavaScript or VBScript.
  • The present invention could be used in conjunction with any type of personal computer, network computer, workstation, minicomputer, mainframe, or the like running any operating system. The network may be a public network (insecure and open to eavesdroppers) or a secure network. Various systems and servers are suitably coupled to the network via data links. A variety of conventional communications media and protocols may be used for data links. A connection to an Internet Service Provider (ISP) over the local loop is typically used in connection with standard modem communication, cable modem, Dish networks, ISDN, Digital Subscriber Line (DSL), or various wireless communication methods. The various systems might also reside within a local area network (LAN) which interfaces to the network via a leased line (T1, D3). Such communication methods are well known in the art, and are covered in a variety of standard texts, such as Gilbert Held, Understanding Data Communications (1996), which is hereby incorporated by reference.
  • For brevity, the present invention is illustrated as pertaining to a system of electronic commerce, such as transactions running over the Internet. Many applications of the present invention could be formulated. The system could be used to authenticate users of a computer system, to activate a passcode system, to access a restricted service or network, to access a building or other restricted area, automobile security and access, or any other purpose. The system may also be used to access on-line services, kiosk services, Point of Sale (POS) terminals, Automatic Teller Machines (ATMs), and/or the like.
  • A user computing unit, another computing system, and/or the like may be interconnected via a second network, such as a payment network. The payment network represents existing proprietary networks that presently accommodate transactions for credit cards, debit cards, and other types of financial/banking cards. The payment network is a closed network that is assumed to be secure from eavesdroppers.
  • The system may communicate the data to the user using at least one protocol in at least one format. The system may configure the data in a format and communicate the data to the user using a protocol. The system and the user may have a predetermined protocol and format in order to facilitate the communication of the data between them. Exemplary protocols include hyper text transfer protocol (http), secured hyper text transfer protocol (https), file transfer protocol (FTP), secure electronic mail, a network, remote method invocation, distributed component object model, enterprise java bean, and/or socket communication. The system may be implemented with TCP/IP communications protocols, IPX, Appletalk, IP-6, NetBIOS, OSI or any number of existing or future protocols. Exemplary formats include extensible markup language (XML), name value pair, any custom format, any industry standard format, and/or the like. For a basic introduction of cryptography, please review a text written by Bruce Schneier entitled “Applied Cryptography: Protocols, Algorithms, And Source Code In C,” published by John Wiley & Sons (second edition, 1996), which is hereby incorporated by reference. Specific information related to the protocols, standards, and application software used in connection with the Internet may not be discussed herein. For further information regarding such details, see Dilip Naik, Internet Standards And Protocols (1998); Java 2 Complete, various authors, (Sybex 1999); Deborah Ray and Eric Ray, Mastering HTML 4.0 (1997); and Loshin, TCP/IP Clearly Explained (1997), where all of these texts are hereby incorporated by reference.
  • Association of certain data may be accomplished through any data association technique known and practiced in the art. The association may be accomplished either manually or automatically. Automatic association techniques include a database search, a database merge, GREP, AGREP, SQL, and/or the like. The association step may be accomplished by a database merge function, such as using a “key field” in data tables. A “key field” partitions the database according to the high-level class of objects defined by the key field. A certain class may be designated as a key field in both the first data table and the second data table, and the two data tables may then be merged on the basis of the class data in the key field. The data corresponding to the key field in each of the merged data tables is preferably the same. However, data tables having similar, though not identical, data in the key fields may also be merged by using AGREP. Also, the association of XML data is done using Document Type Definition (DTD) and schemas.
  • In the foregoing specification, the invention has been described with reference to specific embodiments. However, it will be appreciated that various modifications and changes can be made without departing from the scope of the present invention. The specification and figures are to be regarded in an illustrative manner, rather than a restrictive one, and all such modifications are intended to be included within the scope of present invention. For example, the steps recited in any method or process may be executed in any order and are not limited to the order presented in the method or process.
  • Benefits, other advantages, and solutions to problems have been described above with regard to specific embodiments. However, the benefits, advantages, solutions to problems, and any element(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as critical, required, or essential features or elements of the invention. As used herein, the terms “comprises”, “comprising”, or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Further, no element described herein is required for the practice of the invention unless expressly described as “essential” or “critical”.

Claims (20)

1. An appraisal system comprising:
a collector system configured to gather at least one of data, files, and one or more characteristics associated with a property; and
a scoring system coupled to the collector system and configured to analyze one or more characteristics of the property in order to calculate a score associated with the property,
wherein the one or more characteristics include at least one of view, location, site, condition, parking, quality, size, environment friendly features, amenities, basement, extras, and garage, and
wherein the score is calculated using one or more characteristics of the property and at least one of a zone and a market group associated with the property.
2. The appraisal system of claim 1 further comprising an appraisal database coupled to at least one of the collector system and the scoring system and configured to receive at least one of data and files from at least one of the collector system and the scoring system in order to generate an appraisal report associated with the property.
3. The appraisal system of claim 1 wherein at least one of:
each characteristic of the property is rated with a numeric value;
each increment on a scale of numeric values is assigned a value;
each increment on the scale of numeric values that is assigned a value is gleaned from actual sales transactions of one or more properties that occur periodically;
one or more properties are automatically grouped into the market group based on similar characteristics;
each property has a value per square foot of floor area of the property;
each property has an opinion of influence value configured as the dollars applicable to each increment on the scale of numeric values of each characteristic; and
the score is calculated using one or more numeric values of one or more characteristics.
4. The appraisal system of claim 1 wherein at least one of:
upon selling a property, the actual selling price is incorporated into an appraiser report card;
using the appraiser report card as a feedback loop into an appraisal database coupled to at least one of the collector system and the scoring system;
accessing at least one of a collector database of the collector system and an appraisal database coupled to at least one of the collector system and the scoring system in order to compare the data associated with the property to one or more properties;
comparing the actual selling price of the property with a numeric value of one or more characteristics of the property to adjust the score of the property; and
comparing the actual selling price of the property with a measured property value to adjust the score of the property.
5. The appraisal system of claim 1 wherein at least one of:
the one or more characteristics associated with the property are analyzed and each characteristic is given a numeric value;
each numeric value for each characteristic is used to calculate the score associated with the property; and
each score, each market group, and one or more comparable sales for each market group are used to generate an appraisal report.
6. The appraisal system of claim 1 wherein the zone is defined by at least one of the market group, a community, a neighborhood, a city; one or more zip codes, a county, a state, a region, and a country.
7. The appraisal system of claim 1 wherein at least one of:
the market group is defined by at least one of the zone, one or more attributes of the property, one or more comparable sales of other properties, a market name, a subdivision, a community, and a predetermined geographic boundary;
each property is labeled with a market name associated with a geographic area;
each market name outlines competing properties in the market group; and
one or more properties with similar attributes are in the same market group.
8. A method comprising the steps of:
using a collector system, collecting data related to a first property;
using the collector system, creating at least one of a zone and a market group for the first property, wherein the market group includes a plurality of properties;
using a scoring system, generating a score associated with the first property based on the data;
wherein the scoring system calculates the score for the first property within the market group, and
wherein the scoring system generates a value trend line for the market group by calculating one or more benchmarks for the plurality of properties in the market group.
9. The method of claim 8 further comprising collecting the data in at least one of text, image, audio, and video files.
10. The method of claim 9 further comprising at least one of:
one or more of the files are imported into an appraisal database;
address data fields associated with the files are tagged in the appraisal database;
integrating the files into the appraisal database; and
allowing access to the files in the appraisal database in order to generate an appraisal report.
11. The method of claim 8 further comprising at least one of:
performing quality control of the data;
notifying an appraiser or another entity if there is a quality control error associated with the data;
at least one of formatting and validating the data;
updating an appraisal value of the first property on a timely basis including at least one of daily, monthly, quarterly, and annually; and
allowing access to the data in an appraisal database in order to generate an appraisal report.
12. The method of claim 8 further comprising at least one of:
generating an appraisal report for the first property based on at least one of the score, the zone, the market groups;
wherein the appraisal report includes at least one of an exterior based appraisal, an interior based-appraisal, and a special request appraisal; and
notifying an appraiser to perform a property or site inspection of the property based on the appraisal report.
13. The method of claim 8 further comprising at least one of:
accessing the collector system to at least one of add, edit, review, and verify data including photographs associated with the property;
at least one of viewing, reviewing, adding, editing, and verifying property data including photographs via a portable communication device; and
accessing the collector system to at least one of add, edit, review, and verify an appraisal report associated with the property.
14. A system, comprising:
a host server for accepting and processing data in connection with a property;
an appraisal database in communication with the host server for collecting data on the property and using a collector system of the host server to gather at least one of data, files, and one or more characteristics associated with a property; and
a scoring system in communication with at least one of the host server, the collector system, and the appraisal database configured to analyze one or more characteristics of the property in order to calculate a score associated with the property,
wherein the one or more characteristics include at least one of view, location, site, condition, parking, quality, size, environment friendly features, amenities, basement, extras, and garage, and
wherein the score is calculated using one or more characteristics of the property and at least one of a zone and a market group associated with the property.
15. The system of claim 14 wherein at least one of:
each characteristic of the property is rated with a numeric value;
each increment on a scale of numeric values is assigned a value;
each increment on the scale of numeric values that is assigned a value is gleaned from actual sales transactions of one or more properties that occur periodically;
one or more properties are automatically grouped into the market group based on similar characteristics;
each property has a value per square foot of floor area of the property;
each property has an opinion of influence value configured as the dollars applicable to each increment on the scale of numeric values of each characteristic; and
the score is calculated using one or more numeric values of one or more characteristics.
16. The system of claim 14 wherein at least one of:
upon selling a property, the actual selling price is incorporated into an appraiser report card; and
using the appraiser report card as a feedback loop into an appraisal database coupled to at least one of the collector system and the scoring system.
17. The system of claim 14 wherein at least one of:
the one or more characteristics associated with the property are analyzed and each characteristic is given a numeric value; and
each numeric value for each characteristic is used to calculate the score associated with the property.
18. The system of claim 14 wherein at least one of:
accessing at least one of a collector database of the collector system and an appraisal database coupled to at least one of the collector system and the scoring system in order to compare the data associated with the property to one or more properties;
comparing the actual selling price of the property with a numeric value of one or more characteristics of the property to adjust the score of the property;
comparing the actual selling price of the property with a measured property value to adjust the score of the property and
each score, each market group, and one or more comparable sales for each market group are used to generate an appraisal report.
19. The system of claim 14 wherein the zone is defined by at least one of the market group, a community, a neighborhood, a city; one or more zip codes, a county, a state, a region, and a country.
20. The system of claim 14 wherein at least one of:
the market group is defined by at least one of the zone, one or more attributes of the property, one or more comparable sales of other properties, a market name, a subdivision, a community, and a predetermined geographic boundary;
each property is labeled with a market name associated with a geographic area;
each market name outlines competing properties in the market group; and
one or more properties with similar attributes are in the same market group.
US13/232,786 2007-06-29 2011-09-14 System, Method, and Apparatus for Property Appraisals Abandoned US20120005109A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US13/232,786 US20120005109A1 (en) 2007-06-29 2011-09-14 System, Method, and Apparatus for Property Appraisals

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US94716307P 2007-06-29 2007-06-29
US12/147,193 US8046306B2 (en) 2007-06-29 2008-06-26 System, method, and apparatus for property appraisals
US13/232,786 US20120005109A1 (en) 2007-06-29 2011-09-14 System, Method, and Apparatus for Property Appraisals

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
US12/147,193 Continuation US8046306B2 (en) 2007-06-29 2008-06-26 System, method, and apparatus for property appraisals

Publications (1)

Publication Number Publication Date
US20120005109A1 true US20120005109A1 (en) 2012-01-05

Family

ID=40161708

Family Applications (2)

Application Number Title Priority Date Filing Date
US12/147,193 Expired - Fee Related US8046306B2 (en) 2007-06-29 2008-06-26 System, method, and apparatus for property appraisals
US13/232,786 Abandoned US20120005109A1 (en) 2007-06-29 2011-09-14 System, Method, and Apparatus for Property Appraisals

Family Applications Before (1)

Application Number Title Priority Date Filing Date
US12/147,193 Expired - Fee Related US8046306B2 (en) 2007-06-29 2008-06-26 System, method, and apparatus for property appraisals

Country Status (3)

Country Link
US (2) US8046306B2 (en)
CA (1) CA2694075A1 (en)
WO (1) WO2009004478A2 (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130080340A1 (en) * 2011-09-23 2013-03-28 Elif Onmus-Baykal Indexing and adjusting for property condition in an automated valuation model
US20130103597A1 (en) * 2011-10-24 2013-04-25 Fannie Mae Evaluating appraisals by comparing their comparable sales with comparable sales selected by a model
US20180025452A1 (en) * 2016-07-21 2018-01-25 Realtex Value LLC Computerized systems and methods for optimizing building construction
WO2018236288A1 (en) * 2017-06-20 2018-12-27 Attribuild Pte Ltd Residential real estate layout data collection, search, rating and ranking system and method
US10997676B2 (en) * 2012-03-12 2021-05-04 Fannie Mae Automated valuation model using ordinal variables such as condition and quality variables
US11544804B2 (en) * 2020-11-03 2023-01-03 Ashok Kandipati System and methods for a real estate management platform and dynamic scoring system
WO2023283231A1 (en) * 2021-07-06 2023-01-12 Cape Analytics, Inc. System and method for property condition analysis
US20230097970A1 (en) * 2021-09-30 2023-03-30 II James Andrew Duda System, method, apparatus, and computer program product for a real estate valuation
US11657434B2 (en) * 2016-05-31 2023-05-23 Primus Pvx Llc System and method for automated fractional or undivided interest valuation

Families Citing this family (110)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7929800B2 (en) * 2007-02-06 2011-04-19 Meadow William D Methods and apparatus for generating a continuum of image data
US8207964B1 (en) * 2008-02-22 2012-06-26 Meadow William D Methods and apparatus for generating three-dimensional image data models
US8732004B1 (en) 2004-09-22 2014-05-20 Experian Information Solutions, Inc. Automated analysis of data to generate prospect notifications based on trigger events
US8676680B2 (en) 2006-02-03 2014-03-18 Zillow, Inc. Automatically determining a current value for a home
US8515839B2 (en) 2006-02-03 2013-08-20 Zillow, Inc. Automatically determining a current value for a real estate property, such as a home, that is tailored to input from a human user, such as its owner
US7711636B2 (en) 2006-03-10 2010-05-04 Experian Information Solutions, Inc. Systems and methods for analyzing data
US9031881B2 (en) * 2006-06-30 2015-05-12 Corelogic Solutions, Llc Method and apparatus for validating an appraisal report and providing an appraisal score
US20080077458A1 (en) 2006-09-19 2008-03-27 Andersen Timothy J Collecting and representing home attributes
US8036979B1 (en) 2006-10-05 2011-10-11 Experian Information Solutions, Inc. System and method for generating a finance attribute from tradeline data
US8612320B2 (en) * 2006-12-14 2013-12-17 Corelogic Solutions, Llc Method and apparatus for detecting fraudulent loans
US8606626B1 (en) 2007-01-31 2013-12-10 Experian Information Solutions, Inc. Systems and methods for providing a direct marketing campaign planning environment
US8606666B1 (en) 2007-01-31 2013-12-10 Experian Information Solutions, Inc. System and method for providing an aggregation tool
WO2008147918A2 (en) 2007-05-25 2008-12-04 Experian Information Solutions, Inc. System and method for automated detection of never-pay data sets
US7716228B2 (en) * 2007-09-25 2010-05-11 Firstrain, Inc. Content quality apparatus, systems, and methods
US9690820B1 (en) 2007-09-27 2017-06-27 Experian Information Solutions, Inc. Database system for triggering event notifications based on updates to database records
US8140421B1 (en) 2008-01-09 2012-03-20 Zillow, Inc. Automatically determining a current value for a home
US20100274708A1 (en) * 2008-05-29 2010-10-28 Allen Lewis J Apparatus and method for creating a collateral risk score and value tolerance for loan applications
US10380652B1 (en) 2008-10-18 2019-08-13 Clearcapital.Com, Inc. Method and system for providing a home data index model
CA2683992C (en) * 2008-10-22 2019-10-29 Davis + Henderson, Limited Partnership System and method for automated appraisal
US8880568B2 (en) * 2008-12-16 2014-11-04 Here Global B.V. Report generation for a navigation-related database
US8452641B1 (en) * 2008-12-29 2013-05-28 Federal Home Loan Mortgage Corporation System and method for providing a regularized adjusted weighted repeat sale index
US20100179911A1 (en) * 2009-01-14 2010-07-15 Dataquick Information Systems, Inc. Collateral validation system
WO2010104586A2 (en) * 2009-03-11 2010-09-16 Enservio, Inc. Systems and methods for valuation of tangible items
US8713146B2 (en) * 2009-03-27 2014-04-29 Ebay Inc. Change management automation tool
US9544379B2 (en) 2009-08-03 2017-01-10 Wolfram K. Gauglitz Systems and methods for event networking and media sharing
US10574614B2 (en) 2009-08-03 2020-02-25 Picpocket Labs, Inc. Geofencing of obvious geographic locations and events
US9652802B1 (en) 2010-03-24 2017-05-16 Consumerinfo.Com, Inc. Indirect monitoring and reporting of a user's credit data
US20110258127A1 (en) * 2010-04-06 2011-10-20 Corelogic Information Solutions, Inc. Method, computer program product, device, and system for creating an electronic appraisal report and auditing system
US8346665B2 (en) 2010-04-13 2013-01-01 Enservio, Inc. Dual-activation financial products
US20110257986A1 (en) * 2010-04-13 2011-10-20 James Edward Deanne Method for Producing a Property Valuation Report
US8762278B2 (en) 2010-04-13 2014-06-24 Enservio, Inc. Dual-activation financial products
US20120278218A1 (en) * 2010-05-27 2012-11-01 Jeffery Duston Josephsen Ascertaining market value through a competitive valuation process
US8275640B2 (en) * 2010-07-22 2012-09-25 Webcetera, L.P. Insurance quoting application for handheld device
US10380653B1 (en) 2010-09-16 2019-08-13 Trulia, Llc Valuation system
US8930262B1 (en) 2010-11-02 2015-01-06 Experian Technology Ltd. Systems and methods of assisted strategy design
US9449022B2 (en) 2011-02-04 2016-09-20 Fannie Mae Ranking and displaying appraiser-chosen comparables against model-chosen comparables
US9058560B2 (en) 2011-02-17 2015-06-16 Superior Edge, Inc. Methods, apparatus and systems for generating, updating and executing an invasive species control plan
US10198735B1 (en) 2011-03-09 2019-02-05 Zillow, Inc. Automatically determining market rental rate index for properties
US10460406B1 (en) 2011-03-09 2019-10-29 Zillow, Inc. Automatically determining market rental rates for properties
US20130060710A1 (en) * 2011-05-04 2013-03-07 Matthew Preuss System, Method and Apparatus for Managing and Conducting Property Inspections
US20120296702A1 (en) * 2011-05-16 2012-11-22 Fontana John P Asset marketing network business method and machine for use in conducting the same
US20120323798A1 (en) * 2011-06-17 2012-12-20 Fannie Mae Valuation of properties bordering specified geographic features
US10984426B2 (en) * 2011-06-20 2021-04-20 Fannie Mae Modeling comparable properties where the subject property is a condominium property
US9105128B2 (en) 2011-08-26 2015-08-11 Skybox Imaging, Inc. Adaptive image acquisition and processing with image analysis feedback
DE202012013403U1 (en) 2011-08-26 2016-10-27 Terra Bella Technologies Inc. Capture and process adaptive images with image analysis feedback
US8873842B2 (en) 2011-08-26 2014-10-28 Skybox Imaging, Inc. Using human intelligence tasks for precise image analysis
US20130097201A1 (en) * 2011-10-14 2013-04-18 Norrine Brydon Quality level valuation system and method
US8655106B2 (en) 2011-10-24 2014-02-18 Fannie Mae Automated valuation model with customizable neighborhood determination
US10672088B2 (en) 2012-06-19 2020-06-02 Fannie Mae Automated valuation model with comparative value history information
US20140012720A1 (en) * 2012-07-03 2014-01-09 William H. O'Kane Integrated property mortgage and property improvement loan application system and method
US20140039983A1 (en) * 2012-08-03 2014-02-06 Knowledge Support Systems Ltd. Location evaluation
US9113590B2 (en) 2012-08-06 2015-08-25 Superior Edge, Inc. Methods, apparatus, and systems for determining in-season crop status in an agricultural crop and alerting users
US9311726B2 (en) 2012-08-30 2016-04-12 Fannie Mae System and method for mapping and comparing choroplethic housing statistics
US20140149159A1 (en) * 2012-11-10 2014-05-29 Anthony Kioussis Process for grading, on a standardized scale, the technical condition of an asset
US10332138B1 (en) * 2013-02-05 2019-06-25 Zillow, Inc. Estimating the cost of residential remodeling projects
CA2842592A1 (en) * 2013-02-08 2014-08-08 Symbility Solutions Inc. Estimate method and generator
US11256725B1 (en) 2013-03-12 2022-02-22 Zillow, Inc. Normalization of crime based on foot traffic
US20150074002A1 (en) * 2013-09-09 2015-03-12 Superior Edge, Inc. Land value determination
US20150186953A1 (en) 2013-09-27 2015-07-02 John Nicholas And Kristin Gross Trust U/A/D April 13, 2010 Automated Tool for Property Assessment, Prospecting, and Targeted Marketing
US10754884B1 (en) 2013-11-12 2020-08-25 Zillow, Inc. Flexible real estate search
US10102536B1 (en) 2013-11-15 2018-10-16 Experian Information Solutions, Inc. Micro-geographic aggregation system
US20150154664A1 (en) * 2013-12-03 2015-06-04 Fannie Mae Automated reconciliation analysis model
US20150154663A1 (en) * 2013-12-03 2015-06-04 Fannie Mae Property appraisal discrepancy detection and assessment
US20150178795A1 (en) * 2013-12-23 2015-06-25 Fannie Mae Performing automated appraisals with automatic detection and remediation of situations involving faulty characteristics
US10984489B1 (en) 2014-02-13 2021-04-20 Zillow, Inc. Estimating the value of a property in a manner sensitive to nearby value-affecting geographic features
US10262362B1 (en) 2014-02-14 2019-04-16 Experian Information Solutions, Inc. Automatic generation of code for attributes
US11315197B2 (en) 2014-03-13 2022-04-26 Fannie Mae Dynamic display of representative property information with interactive access to source data
US9489576B2 (en) 2014-03-26 2016-11-08 F12 Solutions, LLC. Crop stand analysis
US10339487B2 (en) * 2014-04-07 2019-07-02 HomeAway.com, Inc. Systems and methods to reconcile free-text with structured data
US9576030B1 (en) 2014-05-07 2017-02-21 Consumerinfo.Com, Inc. Keeping up with the joneses
US9652478B2 (en) 2014-05-30 2017-05-16 Fannie Mae Method and apparatus for generating an electronic document schema from a relational model
US11010796B2 (en) 2014-07-28 2021-05-18 Fannie Mae Evaluating condominium appraisals using project as location effect
US9767566B1 (en) * 2014-09-03 2017-09-19 Sprint Communications Company L.P. Mobile three-dimensional model creation platform and methods
WO2016040680A1 (en) * 2014-09-10 2016-03-17 Gauglitz Wolfram K Systems and methodologies for validating the correspondence between an image and an asset
US10453146B1 (en) * 2014-09-26 2019-10-22 Allstate Insurance Company Home assessment and issue probability generation
US11093982B1 (en) 2014-10-02 2021-08-17 Zillow, Inc. Determine regional rate of return on home improvements
US10157433B2 (en) * 2014-10-15 2018-12-18 UScope Technologies, Inc. Systems and methods for improved property inspection management
US20160125480A1 (en) * 2014-10-29 2016-05-05 Christopher Hugh Morrison Engaging a potential property seller to capture comprehensive property information
WO2016071189A1 (en) * 2014-11-05 2016-05-12 Canary Analytics International B.V. Real property appraisal system and interface
EP3233633A4 (en) 2014-12-17 2018-05-30 Picpocket, Inc. Drone based systems and methodologies for capturing images
US10445152B1 (en) 2014-12-19 2019-10-15 Experian Information Solutions, Inc. Systems and methods for dynamic report generation based on automatic modeling of complex data structures
WO2016112052A1 (en) 2015-01-05 2016-07-14 Picpocket, Inc. Use of a dynamic geofence to control media sharing and aggregation associated with a mobile target
US20170357984A1 (en) * 2015-02-27 2017-12-14 Sony Corporation Information processing device, information processing method, and program
US10643232B1 (en) 2015-03-18 2020-05-05 Zillow, Inc. Allocating electronic advertising opportunities
US10789549B1 (en) 2016-02-25 2020-09-29 Zillow, Inc. Enforcing, with respect to changes in one or more distinguished independent variable values, monotonicity in the predictions produced by a statistical model
US11037255B1 (en) 2016-03-16 2021-06-15 Allstate Insurance Company System for determining type of property inspection based on captured images
US20170286981A1 (en) * 2016-04-05 2017-10-05 Fti Consulting, Inc. System And Method For Analyzing Geopolitical Attributes Over Time Via A Digital Computer
US20180060954A1 (en) 2016-08-24 2018-03-01 Experian Information Solutions, Inc. Sensors and system for detection of device movement and authentication of device user based on messaging service data from service provider
US20180150923A1 (en) * 2016-11-30 2018-05-31 Corelogic Solutions, Llc Property study workflow system
US20180150924A1 (en) * 2016-11-30 2018-05-31 Corelogic Solutions, Llc Computer-based photo re-use across property reports
US20180150925A1 (en) * 2016-11-30 2018-05-31 Corelogic Solutions, Llc Computer-based control of timing with which property review orders are processed
US20180158113A1 (en) * 2016-12-06 2018-06-07 Value Connect Inc. Rich content appraisal report generator
US11023984B1 (en) 2017-04-20 2021-06-01 Wells Fargo Bank, N.A. Virtual property appraisals and/or inspections
US11100574B1 (en) 2017-05-10 2021-08-24 State Farm Mutual Automobile Insurance Company Continuously monitoring and updating mortgage ready data
US11094007B1 (en) 2017-05-10 2021-08-17 State Farm Mutual Automobile Insurance Company Continuously updating mortgage ready data
US11210734B1 (en) 2017-05-10 2021-12-28 State Farm Mutual Automobile Insurance Company Approving and updating dynamic mortgage applications
US10949919B1 (en) 2017-05-10 2021-03-16 State Farm Mutual Automobile Insurance Company Approving and updating dynamic mortgage applications
US11244387B1 (en) 2017-05-10 2022-02-08 State Farm Mutual Automobile Insurance Company Approving and updating dynamic mortgage applications
US10943294B1 (en) * 2017-05-10 2021-03-09 State Farm Mutual Automobile Insurance Company Continuously monitoring and updating mortgage ready data
US11010831B1 (en) 2017-05-10 2021-05-18 State Farm Mutual Automobile Insurance Company Identifying multiple mortgage ready properties
US11587129B2 (en) * 2017-07-11 2023-02-21 Accurate Group, LLC Systems and methods for remote real estate inspections and valuations
US11200513B2 (en) 2017-10-13 2021-12-14 Carrier Corporation Real estate image analysis
US20190206048A1 (en) * 2017-12-30 2019-07-04 Galen Crabtree Method and system for analysis of residential pool condition to evaluate quality of ownership of a swimming facility
US11392998B1 (en) * 2018-08-22 2022-07-19 United Services Automobile Association (Usaa) System and method for collecting and managing property information
US20200402116A1 (en) * 2019-06-19 2020-12-24 Reali Inc. System, method, computer program product or platform for efficient real estate value estimation and/or optimization
US11861748B1 (en) 2019-06-28 2024-01-02 MFTB Holdco, Inc. Valuation of homes using geographic regions of varying granularity
US20230090505A1 (en) * 2020-02-10 2023-03-23 Real - Real Estate Appraisal Logistics Inc. Method and system for generating real estate appraisals
US20220292549A1 (en) * 2020-08-26 2022-09-15 Servicelink Ip Holding Company, Llc Systems and methods for computer-aided appraisal
US20220207630A1 (en) * 2020-12-29 2022-06-30 Toby Michael Cohen System and method for authorizing transfer requests of physical locations
CN116823576B (en) * 2023-06-30 2023-12-26 北京极嗅科技有限公司 Evaluation method and system for plant suitable area of original drug

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6178406B1 (en) * 1995-08-25 2001-01-23 General Electric Company Method for estimating the value of real property
US20010039506A1 (en) * 2000-04-04 2001-11-08 Robbins Michael L. Process for automated real estate valuation
US20020035535A1 (en) * 2000-07-26 2002-03-21 Brock Ronald G. Method and system for providing real estate information
US20020035520A1 (en) * 2000-08-02 2002-03-21 Weiss Allan N. Property rating and ranking system and method
US20030229592A1 (en) * 2000-02-25 2003-12-11 Andrew Florance System and method for collection, distribution, and use of information in connection with commercial real estate
US20050154657A1 (en) * 2004-01-12 2005-07-14 Kim Christopher D.Y. Condition scoring for a property appraisal system
US20050154656A1 (en) * 2004-01-12 2005-07-14 Kim Christopher D.Y. Ranking comparable properties for appraisal
US20050216292A1 (en) * 2003-10-11 2005-09-29 Ashlock Jeffrey M Method and system for financial evaluation of real estate properties
US20060293987A1 (en) * 2005-01-12 2006-12-28 Methods and systems for originating and scoring a financial instrument
US20070095887A1 (en) * 2000-09-18 2007-05-03 Barbosa Frank A Conducting field operations using handheld data management devices
US20070106523A1 (en) * 2005-11-07 2007-05-10 Eaton James M Information system and method for generating appraisal reports for real properties
US20080004893A1 (en) * 2006-06-30 2008-01-03 First American Corelogic, Inc. Method and apparatus for validating an appraisal report and providing an appraisal score
US20080147519A1 (en) * 2006-12-15 2008-06-19 Scott Reigel Method and System for Conducting Inventories and Appraisals
US20080201247A1 (en) * 2007-02-17 2008-08-21 Jeffery Joseph Bradford Method, system and computer-readable media for evaluation or selection of real estate appraisers
US20120158600A1 (en) * 2004-07-16 2012-06-21 Heyer Gary E Property transaction

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040030631A1 (en) 2002-01-11 2004-02-12 Eric Brown Systems and methods for facilitating real estate transactions

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6178406B1 (en) * 1995-08-25 2001-01-23 General Electric Company Method for estimating the value of real property
US20030229592A1 (en) * 2000-02-25 2003-12-11 Andrew Florance System and method for collection, distribution, and use of information in connection with commercial real estate
US20010039506A1 (en) * 2000-04-04 2001-11-08 Robbins Michael L. Process for automated real estate valuation
US20020035535A1 (en) * 2000-07-26 2002-03-21 Brock Ronald G. Method and system for providing real estate information
US20020035520A1 (en) * 2000-08-02 2002-03-21 Weiss Allan N. Property rating and ranking system and method
US20070095887A1 (en) * 2000-09-18 2007-05-03 Barbosa Frank A Conducting field operations using handheld data management devices
US20050216292A1 (en) * 2003-10-11 2005-09-29 Ashlock Jeffrey M Method and system for financial evaluation of real estate properties
US20050154656A1 (en) * 2004-01-12 2005-07-14 Kim Christopher D.Y. Ranking comparable properties for appraisal
US20050154657A1 (en) * 2004-01-12 2005-07-14 Kim Christopher D.Y. Condition scoring for a property appraisal system
US20120158600A1 (en) * 2004-07-16 2012-06-21 Heyer Gary E Property transaction
US20060293987A1 (en) * 2005-01-12 2006-12-28 Methods and systems for originating and scoring a financial instrument
US20070106523A1 (en) * 2005-11-07 2007-05-10 Eaton James M Information system and method for generating appraisal reports for real properties
US20080004893A1 (en) * 2006-06-30 2008-01-03 First American Corelogic, Inc. Method and apparatus for validating an appraisal report and providing an appraisal score
US20080147519A1 (en) * 2006-12-15 2008-06-19 Scott Reigel Method and System for Conducting Inventories and Appraisals
US20080201247A1 (en) * 2007-02-17 2008-08-21 Jeffery Joseph Bradford Method, system and computer-readable media for evaluation or selection of real estate appraisers

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
"New England Appraisers Buy In To Zaio's Vision." Canada NewsWire 10 May 2006 1. http://www.proquest.com/ (accessed February 10, 2012) (hereinafter Zaio 10 May 2006); *
"Zaio completes photographic and valuation content allowing for product rollout in Spokane, WA. and releases third quarter results." Canada NewsWire 29 November 2004 1. http://www.proquest.com/ (accessed February 10, 2012) (hereinafter Zaio 29 November 2004). *
"Zaio Corporation (ZAO-TSX-V) releases year end results." Canada NewsWire 8 April 2005 1. http://www.proquest.com/ (accessed February 10, 2012) (hereinafter Zaio 8 April 2005); *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130080340A1 (en) * 2011-09-23 2013-03-28 Elif Onmus-Baykal Indexing and adjusting for property condition in an automated valuation model
US20130103597A1 (en) * 2011-10-24 2013-04-25 Fannie Mae Evaluating appraisals by comparing their comparable sales with comparable sales selected by a model
US10997676B2 (en) * 2012-03-12 2021-05-04 Fannie Mae Automated valuation model using ordinal variables such as condition and quality variables
US11657434B2 (en) * 2016-05-31 2023-05-23 Primus Pvx Llc System and method for automated fractional or undivided interest valuation
US20180025452A1 (en) * 2016-07-21 2018-01-25 Realtex Value LLC Computerized systems and methods for optimizing building construction
WO2018236288A1 (en) * 2017-06-20 2018-12-27 Attribuild Pte Ltd Residential real estate layout data collection, search, rating and ranking system and method
US11544804B2 (en) * 2020-11-03 2023-01-03 Ashok Kandipati System and methods for a real estate management platform and dynamic scoring system
WO2023283231A1 (en) * 2021-07-06 2023-01-12 Cape Analytics, Inc. System and method for property condition analysis
US11875413B2 (en) 2021-07-06 2024-01-16 Cape Analytics, Inc. System and method for property condition analysis
US20230097970A1 (en) * 2021-09-30 2023-03-30 II James Andrew Duda System, method, apparatus, and computer program product for a real estate valuation

Also Published As

Publication number Publication date
CA2694075A1 (en) 2009-01-08
WO2009004478A3 (en) 2011-04-28
US8046306B2 (en) 2011-10-25
US20090006185A1 (en) 2009-01-01
WO2009004478A2 (en) 2009-01-08

Similar Documents

Publication Publication Date Title
US8046306B2 (en) System, method, and apparatus for property appraisals
US8775322B2 (en) System for matching buyers and sellers based on buyer seller preferences
US20170243296A1 (en) Real Estate Investment System and Method of Controlling a Commercial System by Generating Key Investment Indicators
US7254559B2 (en) System and method for collection, distribution, and use of information in connection with commercial real estate
US8527401B2 (en) Product, system and method for certification of closing and mortgage loan fulfillment
US7464109B2 (en) System and method of compiling real property information from a central database
US20110238566A1 (en) System and methods for determining and reporting risk associated with financial instruments
US20100023379A1 (en) Method and system for determining real estate market value changes
US20060178983A1 (en) Mortgage broker system allowing broker to match mortgagor with multiple lenders and method therefor
US20080201247A1 (en) Method, system and computer-readable media for evaluation or selection of real estate appraisers
CN103782318A (en) System and methods for producing a credit feedback loop
CN102203775A (en) Market dynamics
US20160321721A1 (en) Systems and methods for anonymized transparent exchange of information
US20040220823A1 (en) System and method for procuring real estate agreements
JP2011048597A (en) Collateral value assessment device, collateral value assessment program, and financing system
US20190295181A1 (en) Computer-based identification and validation of data associated with real estate properties
US20010047327A1 (en) System and method for calculating mortgage loan balance to appraisal value ratio
US20180025429A1 (en) System and method for identifying potential mortgage borrowers
US20110131124A1 (en) Report Generator For Allowing A Financial Entity To Monitor Securities Class Action Lawsuits And Potential Monetary Claims Resulting Therefrom
US8775292B2 (en) Process for creating reports of noteworthy securities class action lawsuits customized to show potential monetary claims resulting from the lawsuits for securities purchased or acquired by one or more financial entities and including loss chart selection
JP2003216804A (en) Bankruptcy prediction system using qualitative data
CA2982760C (en) Systems and methods for determining valuation data for a location of interest
US20140279386A1 (en) Methods and system for mining and analyzing real estate information
US20020188541A1 (en) Methods and systems for soliciting, submitting and managing appraisals
AU784943B2 (en) Loan processing system and method

Legal Events

Date Code Title Description
AS Assignment

Owner name: ZAIO CORPORATION, CANADA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:STINSON, BRADLEY HUGH;REEL/FRAME:027767/0268

Effective date: 20120202

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION