Methods and apparatus for providing context aware personalized in-store customer experience

Patent metadata

Field	Value
Publication number	US-12067598-B2
Application number	US-202318102167-A
Country	US
Kind code	B2
Filing date	Jan 27, 2023
Priority date	Jan 30, 2021
Publication date	Aug 20, 2024
Grant date	Aug 20, 2024

Abstract

The disclosed subject matter relates to a system and method for personalizing customer experience at a retailer's physical location in order to increase sales and customer satisfaction. The personalization is based upon classification of customer's online interaction with the retailer. Upon detecting the customer's presence at the retailer's physical location, data of the customer's online interactions is retrieved and classified based on the type of online interactions and temporal characteristics. Push content is transmitted to the customer, the push content being based upon at least the classification and data associated with retailer's physical location.

First claim

What is claimed is:

1. A system for personalizing interactions at a physical location based upon classification of prior online interactions, comprising:
a database;
a communication system;
a memory having instructions stored thereon; and
a processor configured to read the instructions to:
determine when a mobile device is in proximity of a physical location;
access the database for data representative of online interactions associated with the mobile device;
classify the online interactions into one of a plurality of classifications;
access the database for data representative of retailer information associated with the physical location;
select push content based upon the classification of the data representative of online interactions and the data representative of the retailer information; and
transmit, via the communication system, the selected push content to the mobile device while the mobile device is in proximity of the physical location.

2. The system of claim 1 , wherein classification of the online interactions into one of the plurality of classifications is based on determination of whether an online interaction associated with the mobile device occurred within a predetermined amount of time prior to the mobile device being in proximity of the physical location.

3. The system of claim 2 , wherein the predetermined amount of time is selected from the group consisting of less than or equal to a week, less than or equal to ten days, and less than or equal to a month.

4. The system of claim 2 , wherein the online interactions are selected from the group consisting of search, add to cart, purchase and views.

5. The system of claim 1 , wherein classification of the online interactions into one of the plurality of classifications is based on a determination of whether the mobile device generated an in-store search for a product.

6. The system of claim 1 , wherein classification of the online interactions into one of the plurality of classifications is based on a determination of whether the mobile device is logged into an online account associated with the retailer information.

7. The system of claim 1 , wherein the retailer information is selected from the group consisting of current inventory, product information, inventory layout, promotions, local preferences and sales trends associated with the physical location.

8. The system of claim 1 , wherein the processor is further configured to select the push content based on an object of the online interactions for a first classification, wherein the push content includes the object of the online interactions.

9. The system of claim 1 , wherein the processor is further configured to select the push content based on an object of the online interactions, wherein the push content includes a product complimentary to the object of the online interactions.

10. A computer-implemented method for personalizing interactions at a physical location based upon classification of prior online interactions, comprising:
determining when a mobile device is in proximity of a physical location;
obtaining data representative of online interactions associated with the mobile device;
classifying the online interactions into one of a plurality of classifications;
obtaining data representative of retailer information associated with the physical location;
selecting push content based upon the classification of the data representative of online interactions and the data representative of the retailer information; and
transmitting, via a communication system, the selected push content to the mobile device while the mobile device is in proximity of the physical location.

11. The computer-implemented method of claim 10 , wherein classification of the online interactions into one of the plurality of classifications is based on determination of whether an online interaction associated with the mobile device occurred within a predetermined amount of time prior to the mobile device being in proximity of the physical location.

12. The computer-implemented method of claim 11 , wherein the predetermined amount of time is selected from the group consisting of less than or equal to a week, less than or equal to ten days, and less than or equal to a month.

13. The computer-implemented method of claim 11 , wherein the online interactions are selected from the group consisting of search, add to cart, purchase and views.

14. The computer-implemented method of claim 10 , wherein classification of the online interactions into one of the plurality of classifications is based on a determination of whether the mobile device generated an in-store search for a product.

15. The computer-implemented method of claim 10 , wherein classification of the online interactions into one of the plurality of classifications is based on a determination of whether the mobile device is logged into an online account associated with the retailer information.

16. The computer-implemented method of claim 10 , wherein the retailer information is selected from the group consisting of current inventory, product information, inventory layout, promotions, local preferences and sales trends associated with the physical location.

17. The computer-implemented method of claim 10 , wherein the push content is selected based on an object of the online interactions for a first classification, wherein the push content includes the object of the online interactions.

18. The computer-implemented method of claim 10 , wherein the push content is selected based on an object of the online interactions, wherein the push content includes a product complimentary to the object of the online interactions.

19. A non-transitory computer-readable medium having instructions stored thereon, wherein the instructions, when executed by at least one processor, cause a device to perform operations comprising:
determining when a mobile device is in proximity of a physical location;
accessing a database for data representative of online interactions associated with the mobile device;
classifying the online interactions into one of a plurality of classifications;
accessing the database for data representative of retailer information associated with the physical location;
selecting push content based upon the classification of the data representative of online interactions and the data representative of the retailer information; and
transmitting, via a communication system, the selected push content to the mobile device while the mobile device is in proximity of the physical location.

20. The non-transitory computer-readable medium of claim 19 , wherein classification of the online interactions into one of the plurality of classifications is based on determination of whether an online interaction associated with the mobile device occurred within a predetermined amount of time prior to the mobile device being in proximity of the physical location, wherein the online interactions are selected from the group consisting of search, add to cart, purchase and views, and wherein the predetermined amount of time is selected from the group consisting of less than or equal to a week, less than or equal to ten days, and less than or equal to a month.

Assignees

• Walmart Apollo Llc

Inventors

• Nag Kaushiki
• Achan Kannan
• Manoharan Shirpaa
• Kalidindi Vidya Sagar
• Ramkumar Rahul

Classifications

• H04L67/55

  Push-based network services · CPC title

• H04L67/52

  specially adapted for the location of the user terminal · CPC title

• G06F16/9537

  Spatial or temporal dependent retrieval, e.g. spatiotemporal queries · CPC title

• G06Q30/0633

  Managing shopping lists, e.g. compiling or processing purchase lists (shipping orders G06Q10/083; order filling G06Q10/087) · CPC title

• G06F16/9535

  Search customisation based on user profiles and personalisation · CPC title