SYSTEM AND METHOD OF OPTIMIZING COMMERCIAL REAL ESTATE TRANSACTIONS

• US 20090276290A1
• Filed: 04/30/2009
• Published: 11/05/2009
• Est. Priority Date: 05/01/2008
• Status: Abandoned Application

• Current Assignee: Paul M. Sill
• Original Assignee: Paul M. Sill
• Inventors: Sill, Paul M.
• Application Number:
  US12/433,472
• Publication Number:
  US 20090276290A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 30/08 Auctions
• CPC Class Codes: G06Q 50/16 Real estate

Abstract

The present invention is directed to a method for facilitating a real estate transaction comprising the steps of receiving at least one site performance criteria from at least one prospective buyer, receiving prospective site data regarding at least one prospective site from at least one prospective seller, calculating the value of at least one prospective site metric using the prospective site data wherein the at least one prospective site metric corresponds to at least one of the site performance criteria, evaluating the at least one prospective site metric using a predetermined set of filtering criteria, determining whether the at least one prospective site meets the site performance criteria based on the evaluation of the prospective site data and the at least one prospective site metric and displaying the degree to which the at least one prospective site meets the site performance criteria.

Claims

1. A method for facilitating a real estate transaction comprising the steps of:

receiving at least one site performance criteria from at least one prospective buyer;

receiving prospective site data regarding at least one prospective site from at least one prospective seller;

calculating the value of at least one prospective site metric using the prospective site data wherein the at least one prospective site metric corresponds to at least one of the site performance criteria;

evaluating the at least one prospective site metric using a predetermined set of filtering criteria;

determining whether the at least one prospective site meets the site performance criteria based on the evaluation of the prospective site data and the at least one prospective site metric; and

displaying the degree to which the at least one prospective site meets the site performance criteria.

2. The method of claim 1 further comprising the step of screening the prospective site data using the predetermined set of filtering criteria.

3. The method of claim 1 wherein the predetermined set of filtering criteria is comprised of the site performance criteria.

4. The method of claim 1 wherein the predetermined set of filtering criteria is at least partially calculated using the site performance criteria.

5. The method of claim 1 wherein the site performance criteria comprises at least one of sales, market share, profit and market potential.

6. The method of claim 1 wherein the predetermined set of filtering criteria comprises at least one of geographic location, proximity to at least one type of business, site size, listed price, demographic information from the surrounding area and whether the site is located within a predetermined optimal market area.

7. The method of claim 1 wherein the calculating of at least one prospective site metric comprises the steps of deriving a primary market area for the prospective site, extracting consumer data from within the prospective site primary market area and using the extracted data to calculate the prospective site metric.

8. The method of claim 7 wherein deriving a primary market area for the prospective site comprises the steps of creating a primary market polygon for each existing prospective buyer location, computing the land area of each primary market polygon and generating a statistical model that predicts the area of a primary market polygon based on the computed land areas.

9. The method of claim 8 wherein the statistical model is generated using linear regression modeling.

10. The method of claim 8 wherein creating a primary market polygon is comprised of the steps of receiving client customer household data for an existing prospective buyer store, geocoding existing customer household data to obtain address-level latitude and longitude coordinate for existing customers and creating a polygon connecting a predetermined percentage of customer household locations around the existing prospective buyer location.

11. The method of claim 10 wherein the polygon connecting a predetermined percentage of customer household locations around the existing prospective buyer location is created by a convex hull computational routine.

12. The method of claim 7 wherein the prospective site metric is tabulated using a statistically derived model based on attributes of existing prospective buyer locations.

13. The method of claim 12 wherein the attributes of existing prospective buyer locations comprise size, age, format, design, layout, proximity to competitors, mystery shopping score, customer satisfaction score, advertising expenditures, brand awareness, operator quality, visibility and available consumer amenities.

14. The method of claim 7 wherein tabulating the prospective site metric comprises the steps of determining a set of key similarity factors based on existing prospective buyer locations, computing non-market factors, extracting key similarity factor data from the prospective site and existing prospective buyer locations, comparing the prospective site and existing prospective buyer site data for each key factor and assigning a similarity score based upon the data comparison.

15. The method of claim 14 wherein key similarity factors comprise at least one of income, households, workplace population and age of population for each existing prospective buyer location'"'"'s primary market area.

16. The method of claim 14 wherein non-market factors comprise at least one of the number of competitors in the primary market area, size of prospective site and type of prospective site.

17. A system for facilitating a real estate transaction comprising:

a server for storing prospective site data regarding at least one prospective site from at least one prospective seller and for storing site performance criteria from at least one prospective buyer;

a user interface allowing prospective buyers and sellers to check the status of prospective sites; and

a filtering module enabling evaluation of the prospective site data using a predetermined set of filtering criteria;

a modeling module enabling calculation of the value of at least one prospective site metric using the prospective site data wherein the at least one prospective site metric corresponds to at least one of the site performance criteria;

a scoring module enabling evaluation of the at least one prospective site metric using the predetermined set of filtering criteria and determination of whether the at least one prospective site meets the site performance criteria based on the evaluation of the prospective site data and the at least one prospective site metric; and

an output module enabling generation of a signal indicating the degree to which the at least one prospective site meets the site performance criteria.

18. The system of claim 17 wherein the user interface is a website.

19. The system of claim 17 wherein the site performance criteria comprises at least one of sales, market share, profit and market potential.

20. The system of claim 17 wherein the predetermined set of filtering criteria comprises at least one of geographic location, proximity to at least one type of business, site size, listed price, demographic information from the surrounding area and whether the site is located within a predetermined optimal market area.

21. A method for facilitating the purchase of commercial real estate comprising the steps of:

inputting site performance criteria and filtering criteria;

receiving prospective site data regarding at least one prospective site from at least one prospective seller;

evaluating the prospective site data using the filtering criteria;

receiving at least one prospective site metric based on the prospective site data;

evaluating the at least one prospective site metric using the filtering criteria;

receiving a determination of whether the at least one prospective site meets the site performance criteria based on the evaluation of the prospective site data and the at least one prospective site metric; and

determining whether to make an offer for the prospective site.