SYSTEMS AND METHODS FOR DETERMINING VALUATION DATA FOR A LOCATION OF INTEREST

• US 20160307243A1
• Filed: 04/17/2015
• Published: 10/20/2016
• Est. Priority Date: 04/17/2015
• Status: Abandoned Application

• Current Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Original Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Inventors: Bhattacharjee, Manash, Ghosh, Debashis, Shuken, Randy
• Application Number:
  US14/690,115
• Publication Number:
  US 20160307243A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/58 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06Q 30/0278 Product appraisal
• CPC Class Codes: G06Q 50/165 Land development
• CPC Class Codes: H04W 4/025 using location based information parameters

Abstract

A computer-implemented method for providing valuation data for a location of interest (LOI) to a user is provided. The method includes receiving, by a real estate valuation computing device, a location request message generated at a mobile device associated with the user. The location request message includes image data and mobile device data. The method also includes mapping the LOI to a physical location based at least in part on the mobile device data, and determining valuation data for the LOI based on the physical location. The valuation data includes a real estate rating for the LOI. The method further includes generating a location response message that includes at least the valuation data and the physical location of the LOI, and transmitting the location response message to the mobile device.

Claims

1. A computer-implemented method for providing valuation data for a location of interest (LOI) to a user using a real estate valuation (REV) computing device in communication with a memory, the method comprising:

receiving, by the REV computing device, a location request message generated at a mobile device associated with the user, the location request message including image data and mobile device data, wherein the image data includes an image of the LOI and an image timestamp associated with the image;

mapping, by the REV computing device, the LOI to a physical location based at least in part on the mobile device data;

determining, by the REV computing device, valuation data for the LOI based on the physical location, the valuation data including a real estate rating for the LOI;

generating a location response message that includes at least the valuation data and the physical location of the LOI; and

transmitting the location response message to the mobile device.

2. The computer-implemented method of claim 1, wherein the mobile device data includes at least one of accelerometer data, compass data, gyroscope data, and GPS data captured at the mobile device having a timestamp approximately equal to the image timestamp.

3. The computer-implemented method of claim 1, wherein determining valuation data for the LOI comprises determining the real estate rating for the LOI, including:

receiving a set of property factors associated with the LOI;

receiving a set of income factors associated with the LOI including a set of transaction data associated with a tenant of the LOI, wherein the set of transaction data is received from a payment processing network;

determining a tenant revenue forecast based at least in part on the set of income factors; and

determining the real estate rating for the LOI based on the set of property factors, the set of income factors, and the tenant revenue forecast.

4. The computer-implemented method of claim 1, further comprising storing the image data in an image database, and wherein determining the valuation data further comprises:

retrieving the image data from the image database; and

generating an image time series for the LOI, wherein the image time series includes a plurality of images from the image data arranged chronologically based on image timestamps associated with respective ones of the plurality of images, and wherein the valuation data further includes the image time series.

5. The computer-implemented method of claim 1, wherein the LOI is a commercial real estate location.

6. The computer-implemented method of claim 1, further comprising causing, by the REV computing device, the valuation data to be displayed on the mobile device.

7. The computer-implemented method of claim 1, wherein transmitting the location response message comprises transmitting the location response message from the REV computing device via an application interface programming (API) platform, wherein the API platform is configured to transmit the location response message to the mobile device.

8. A computer system for providing valuation data for a location of interest (LOI) to a user, the computer system comprising:

a memory; and

a real estate valuation computing device including a processor configured to;

receive a location request message generated at a mobile device associated with the user, the location request message including image data and mobile device data, wherein the image data includes an image of the LOI and an image timestamp associated with the image;

map the LOI to a physical location based at least in part on the mobile device data;

determine valuation data for the LOI based on the physical location, the valuation data including a real estate rating for the LOI;

generate a location response message that includes at least the valuation data and the physical location of the LOI; and

transmit the location response message to the mobile device.

9. The computer system of claim 8, wherein mobile device data includes at least one of accelerometer data, compass data, gyroscope data, and GPS data captured at the mobile device having a timestamp approximately equal to the image timestamp.

10. The computer system of claim 8, wherein the processor is further configured to:

receive a set of property factors associated with the LOI;

receive a set of income factors associated with the LOI including a set of transaction data associated with a tenant of the LOI, wherein the set of transaction data is received from a payment processing network;

determine a tenant revenue forecast based at least in part on the set of income factors; and

determine the real estate rating for the LOI based on the set of property factors, the set of income factors, and the tenant revenue forecast.

11. The computer system of claim 8, wherein the processor is further configured to:

store the image data in an image database;

retrieve the image data from the image database; and

generate an image time series for the LOI, wherein the image time series includes a plurality of images from the image data arranged chronologically based on image timestamps associated with respective ones of the plurality of images, and wherein the valuation data further includes the image time series.

12. The computer system of claim 8, wherein the LOI is a commercial real estate location.

13. The computer system of claim 8, wherein the processor is further configured to cause the valuation data to be displayed on the mobile device.

14. The computer system of claim 8, wherein the real estate valuation computing device is in communication with an application interface programming (API) platform, wherein the processor is further configured to transmit the location response message via the API platform, and wherein the API platform is configured to transfer the location response message to the mobile device.

15. A computer-readable storage medium having computer-executable instructions embodied thereon for providing valuation data for a location of interest (LOI) to a user, wherein when executed by a real estate valuation (REV) computing device having at least one processor, the computer-executable instructions cause the processor to:

receive a location request message generated at a mobile device associated with the user, the location request message including image data and mobile device data, wherein the image data includes an image of the LOI and an image timestamp associated with the image;

map the LOI to a physical location based at least in part on the mobile device data;

determine valuation data for the LOI based on the physical location, the valuation data including a real estate rating for the LOI;

generate a location response message that includes at least the valuation data and the physical location of the LOI; and

transmit the location response message to the mobile device.

16. The computer-readable storage medium of claim 15, wherein mobile device data includes accelerometer data, compass data, gyroscope data, and GPS data captured at the mobile device having a timestamp approximately equal to the image timestamp.

17. The computer-readable storage medium of claim 15, wherein the computer-readable instructions further cause the processor to:

receive a set of property factors associated with the LOI;

receive a set of income factors associated with the LOI including a set of transaction data associated with a tenant of the LOI, wherein the set of transaction data is received from a payment processing network;

determine a tenant revenue forecast based at least in part on the set of income factors; and

determine the real estate rating for the LOI based on the set of property factors, the set of income factors, and the tenant revenue forecast.

18. The computer-readable storage medium of claim 15, wherein the computer-readable instructions further cause the processor to:

store the image data in an image database;

retrieve the image data from the image database; and

generate an image time series for the LOI, wherein the image time series includes a plurality of images from the image data arranged chronologically based on image timestamps associated with respective ones of the plurality of images, and wherein the valuation data further includes the image time series.

19. The computer-readable storage medium of claim 15, wherein the computer-readable instructions further cause the processor to cause the valuation data to be displayed on the mobile device.

20. The computer-readable storage medium of claim 15, wherein the computer-readable instructions further cause the processor to transmit the location response message via an application interface programming (API) platform, wherein the API platform is configured to transfer the location response message to the mobile device.