TECHNIQUES FOR USING A HEAT MAP OF A RETAIL LOCATION TO PROMOTE THE SALE OF PRODUCTS

• US 20140172553A1
• Filed: 12/14/2012
• Published: 06/19/2014
• Est. Priority Date: 12/14/2012
• Status: Abandoned Application

• Current Assignee: Walmart Apollo, LLC (WalMart Inc.)
• Original Assignee: WalMart Inc.
• Inventors: Goulart, Valerie
• Application Number:
  US13/715,481
• Publication Number:
  US 20140172553A1
• Time in Patent Office: Days
• US Class Current: 705/14.49
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0251 Targeted advertisements

Abstract

A computer-implemented method is disclosed herein. The computer-implemented method includes the step of monitoring, at a processing device, regions of a retail location. The computer-implemented method also includes the step of determining, at the processing device, a crowd size for each region based on the monitoring step and indicative of an amount of people in the region when the monitoring step is executed, including identifying at least one over-crowded region. The computer-implemented method also includes the step of generating, at the processing device, a heat map based on the crowd sizes in each region, the heat map being indicative of the amount of people in each of the regions and displaying the over-crowded region. The computer-implemented method also includes the step of offering for sale a product promotion positioned at the over-crowded region identified in the heat map.

Claims

1. A computer-implemented method comprising:

monitoring, at a processing device, regions of a retail location;

determining, at the processing device, a crowd size for each region based on said monitoring step and indicative of an amount of people in the region when said monitoring step is executed, including identifying at least one over-crowded region;

generating, at the processing device, a heat map based on the crowd sizes in each region, the heat map being indicative of the amount of people in each of the regions and displaying the over-crowded region; and

offering for sale a product promotion positioned at the over-crowded region identified in the heat map.

2. The computer-implemented method of claim 1 wherein said offering step further comprises:

offering for sale a product promotion being an advertisement positioned in the over-crowded region.

3. The computer-implemented method of claim 1 wherein said offering step further comprises:

offering for sale a product promotion being a product slotting in the over-crowded region.

4. The computer-implemented method of claim 1 further comprising:

correlating, with the processing device, descriptive metadata with the heat map.

5. The computer-implemented method of claim 4 wherein said correlating step further comprises:

correlating, with the processing device, descriptive metadata with the heat map, the descriptive metadata including a time of day when said generating step was executed.

6. The computer-implemented method of claim 4 wherein said correlating step further comprises:

correlating, with the processing device, descriptive metadata with the heat map, the descriptive metadata including a day of the week when said generating step was executed.

7. The computer-implemented method of claim 4 wherein said correlating step further comprises:

correlating, with the processing device, descriptive metadata with the heat map, the descriptive metadata including a month when said generating step was executed.

8. The computer-implemented method of claim 4 wherein said correlating step further comprises:

correlating, with the processing device, descriptive metadata with the heat map, the descriptive metadata including a geographical location of the retail location at which said generating step was executed.

9. The computer-implemented method of claim 4 wherein said correlating step further comprises:

correlating, with the processing device, descriptive metadata with the heat map, the descriptive metadata including locations of products within the retail location when said generating step was executed.

10. The computer-implemented method of claim 4 wherein said correlating step further comprises:

correlating, with the processing device, descriptive metadata with the heat map, the descriptive metadata including sales records of products within the retail location when said generating step was executed.

11. The computer-implemented method of claim 4 further comprising:

offering for sale the heat map and the descriptive metadata correlated to the heat map.

12. The computer-implemented method of claim 11 wherein said correlating step further comprises:

correlating, with the processing device, descriptive metadata with the heat map, the descriptive metadata including locations of products within the retail location when said generating step was executed and sales records of products within the retail location when said generating step was executed.

13. The computer-implemented method of claim 1 wherein said generating step further comprises:

generating, at the processing device, a first heat map based on the crowd sizes in each region, the first heat map being indicative of the amount of people in each of the regions and displaying a first over-crowded region.

14. The computer-implemented method of claim 13 further comprising:

moving a product disposed at the first over-crowded region after said step of generating the first heat map.

15. The computer-implemented method of claim 14 wherein said generating step further comprises:

generating, at the processing device, a second heat map based on the crowd sizes in each region.

16. The computer-implemented method of claim 15 further comprising:

comparing, with the processing device, the first and second heat maps to determine an effect of said moving step on the first over-crowded region.

17. The computer-implemented method of claim 13 further comprising:

changing a price of a product disposed at the first over-crowded region after said step of generating the first heat map.

18. The computer-implemented method of claim 17 wherein said generating step further comprises:

generating, at the processing device, a second heat map based on the crowd sizes in each region.

19. The computer-implemented method of claim 18 further comprising:

comparing, with the processing device, the first and second heat maps to determine an effect of said changing step on the first over-crowded region.

20. A computer-implemented method comprising:

monitoring, at a processing device, regions of a retail location;

determining, at the processing device, a crowd size for each region based on said monitoring step and indicative of an amount of people in the region when said monitoring step is executed, including identifying at least one over-crowded region;

generating, at the processing device, a heat map based on the crowd sizes in each region, the heat map being indicative of the amount of people in each of the regions and displaying the over-crowded region; and

offering the heat map for sale.