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

Patent metadata

Field	Value
Publication number	US-10395296-B2
Application number	US-201615010394-A
Country	US
Kind code	B2
Filing date	Jan 29, 2016
Priority date	Jan 29, 2016
Publication date	Aug 27, 2019
Grant date	Aug 27, 2019

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.

First claim

What is claimed is:

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 ste

Assignees

• Wal Mart Stores Inc
• Walmart Apollo Llc

Inventors

• Pellow Benjamin
• Poplawski Emily
• Aase Stephen

Classifications

• G06Q30/0625 Primary

  by formulating product or service queries, e.g. using keywords or predefined options · CPC title

• G06Q30/0643

  graphically representing goods, e.g. 3D product representation · CPC title

• G06Q30/0639

  Locating goods or services, e.g. based on physical position of the goods or services within a shopping facility · CPC title