Database mining techniques for generating customer-specific maps in retail applications

• US 10,395,296 B2
• Filed: 01/29/2016
• Issued: 08/27/2019
• Est. Priority Date: 01/29/2016
• Status: Active Grant

• Current Assignee: Walmart Apollo, LLC (WalMart Inc.)
• Original Assignee: Walmart Apollo, LLC (WalMart Inc.)
• Inventors: Pellow, Benjamin, Poplawski, Emily, Aase, Stephen
• Primary Examiner(s): Shui, Ming
• Application Number:
  US15/010,394
• Publication Number:
  US 20170221119A1
• Time in Patent Office: 1,306 Days
• Field of Search: 705 261- 272
• CPC Class Codes: G06Q 30/0625 Directed, with specific intent or strategy
• CPC Class Codes: G06Q 30/0639 Item locations
• CPC Class Codes: G06Q 30/0643 Graphical representation of items or shoppers

Abstract

Techniques related to presentation of consumer-specific maps are disclosed. The techniques involve accessing, with a search engine module, from at least one database, map data defining a layout of a retail facility, product data identifying products for sale at the retail facility, location data defining a location of the products, purchase data relating to products previously purchased by a specific consumer, and promotion data identifying promotions available for the products. A processor analyzes the data and correlates promotions with the products previously purchased by the specific consumer. The processor generates a map of the layout of the retail facility that is presentable on a display of a computing device. The map indicates with respect to the layout the location of the products previously purchased by the specific consumer and the promotions correlated with the products previously purchased by the specific consumer.

Claims

1. A system, comprising:

at least one database comprising;

map data defining a layout of a retail facility;

product data identifying products for sale at the retail facility;

location data defining a location of each product of the products for sale at the retail facility;

purchase data relating to at least one product previously purchased by a specific consumer, the products comprising the at least one product previously purchased by the specific consumer; and

promotion data identifying at least one promotion available for the products at the retail facility;

a search engine module configured to access the map data, the location data, the purchase data, and the promotion data;

a tracking system for determining a location of a computing device at the retail facility; and

a processor configured to;

correlate, using the product data, the purchase data and the promotion data, the at least one promotion with the at least one product previously purchased by the specific consumer;

generate for presentation on a display of the computing device (a) a map of the layout of the retail facility wherein the map indicates, with respect to the layout, the location of the at least one product previously purchased by the specific consumer and (b) the at least one promotion correlated with the at least one product previously purchased by the specific consumer; and

hide the location of the at least one product previously purchased by the specific consumer on the map when the location of the computing device is beyond a predetermined proximity to the location of the at least one product previously purchased by the specific consumer.

2. The system of claim 1 wherein the processor is further configured to (a) generate at least one graphic indicating the location of the at least one product previously purchased by the specific consumer and (b) overlay the at least one graphic on the map.

3. The system of claim 1 wherein the processor is further configured to (a) generate at least one graphic indicating the at least one promotion correlated with the at least one product previously purchased by the specific consumer and (b) overlay the at least one graphic on the map.

4. The system of claim 1 wherein the processor is further configured to generate, using the purchase data, an observation relating to the at least one product previously purchased by the specific consumer.

5. The system of claim 4, wherein the observation comprises at least one of:

a count of prior purchases of the at least one product previously purchased by the specific consumer;

a number of units of the at least one product previously purchased by the specific consumer in a latest purchase of the prior purchases;

or

a frequency of the prior purchases.

6. The system of claim 4 wherein the processor is further configured to (a) generate at least one graphic indicating the observation relating to the at least one product previously purchased by the specific consumer and (b) overlay the at least one graphic on the map.

7. The system of claim 1 wherein the processor is further configured to (a) generate at least one graphic indicating the location of the computing device at the retail facility and (b) overlay the at least one graphic on the map.

8. The system of claim 1 wherein the processor is further configured to present the location of the previously purchased product on the map only when the location of the computing device is within the predetermined proximity to the location of the product.

9. The system of claim 1 wherein the purchase data further relates to at least one product previously purchased by consumers other than the specific consumer and wherein the processor is configured to further correlate the at least one promotion with the at least one product previously purchased by the specific consumer based on the at least one product previously purchased by the consumers other than the specific consumer.

10. The system of claim 1 wherein the processor is configured to analyze the purchase data over time to determine trends or patterns for predicting which of the at least one product previously purchased by the specific consumer should be correlated with the at least one promotion.

11. A computer-implemented method, including the steps of:

accessing, with a search engine module, from at least one database;

map data defining a layout of a retail facility;

product data identifying products for sale at the retail facility;

location data defining a location of each product of the products for sale at the retail facility;

purchase data relating to at least one product previously purchased by a specific consumer, the products comprising the at least one product previously purchased by the specific consumer; and

promotion data identifying at least one promotion available for the products at the retail facility;

analyzing, using a processor, the map data, the location data, the product data, the purchase data and the promotion data;

correlating, using the processor, the at least one promotion with the at least one product previously purchased by the specific consumer;

generating, using the processor, (a) a map of the layout of the retail facility that is presentable on a display of a computing device, wherein the map indicates, with respect to the layout, the location of the at least one product previously purchased by the specific consumer and (b) the at least one promotion correlated with the at least one product previously purchased by the specific consumer;

determining, using a tracking system, a location of the computing device at the retail facility; and

hiding, using the processor, the location of the at least one product previously purchased by the specific consumer on the map when the location of the computing device is beyond a predetermined proximity to the location of the at least one product previously purchased by the specific consumer.

12. The computer-implemented method of claim 11 further comprising the steps of (a) generating, using the processor, at least one graphic indicating the location of the at least one product previously purchased by the specific consumer and (b) overlaying, using the processor, the at least one graphic on the map.

13. The computer-implemented method of claim 11 further comprising the steps of (a) generating, using the processor, at least one graphic indicating the at least one promotion correlated with the at least one product previously purchased by the specific consumer and (b) overlaying, using the processor, the at least one graphic on the map.

14. The computer-implemented method of claim 11 further comprising the step of generating with the processor, an observation relating to the at least one product previously purchased by the specific consumer based on the purchase data.

15. The system of claim 14, wherein the observation comprises at least one of:

a count of prior purchases of the at least one product previously purchased by the specific consumer;

a number of units of the at least one product previously purchased by the specific consumer in a latest purchase of the prior purchases;

or

a frequency of the prior purchases.

16. The computer-implemented method of claim 14 further comprising the steps of (a) generating, using the processor, at least one graphic indicating the observation relating to the at least one product previously purchased by the specific consumer and (b) overlaying, using the processor, the at least one graphic on the map.

17. The computer-implemented method of claim 11 further comprising the steps of (a) generating, using the processor, at least one graphic indicating the location of the computing device at the retail facility and (b) overlaying, using the processor, the at least one graphic on the map.

18. The computer-implemented method of claim 11 further comprising the step of presenting, using the processor, the location of the previously purchased product on the map only when the location of the computing device is within the predetermined proximity to the location of the product.

19. The computer-implemented method of claim 11 wherein correlating, using the processor, the at least one promotion with the at least one product previously purchased by the specific consumer is further performed based on purchase data relating to at least one product previously purchased by consumers other than the specific consumer.

20. One or more non-transitory computer-readable storage media, having computer-executable instructions embodied thereon, wherein when executed by at least one processor, the computer-executable instructions cause the processor to:

access from at least one database;

map data defining a layout of a retail facility;

product data identifying products for sale at the retail facility;

location data defining a location of each product of the products for sale at the retail facility;

purchase data relating to at least one product previously purchased by a specific consumer, the products comprising the at least one product previously purchased by a specific consumer; and

promotion data identifying at least one promotion available for the products at the retail facility;

analyze the map data, the location data, the product data, the purchase data and the promotion data;

correlate the at least one promotion with the at least one product previously purchased by the specific consumer;

generate (a) a map of the layout of the retail facility that is presentable on a display of a computing device, wherein the map indicates, with respect to the layout, the location of the at least one product previously purchased by the specific consumer and (b) the at least one promotion correlated with the at least one product previously purchased by the specific consumer;

determine a location of the computing device at the retail facility; and

hide the location of the at least one product previously purchased by the specific consumer on the map when the location of the computing device is beyond a predetermined proximity to the location of the at least one product previously purchased by the specific consumer.