RECOMMENDING A PERSONALIZED ENSEMBLE

• US 20150095184A1
• Filed: 09/30/2013
• Published: 04/02/2015
• Est. Priority Date: 09/30/2013
• Status: Active Grant

• Current Assignee: Bread Financial Payments Incorporated
• Original Assignee: Alliance Data Systems Corporation
• Inventors: Ainsworth, Richard Barber, Billman, Christian, Elbert, Ben, Chilaka, Uchenna, Leber, Kyle, Korra, Ramesh, Maupin, Jonathan, Meves, Diane
• Granted Patent: US 9,710,841 B2
• Time in Patent Office: Days
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0643 Graphical representation of items or shoppers

Abstract

A computer-implemented method for generating a recommendation of a personalized ensemble. The method includes accessing customer data associated with a customer; enabling display of items on a three-dimensional shape; enabling selection of one of the items; and dynamically generating a recommendation of a personalized ensemble for the customer based on the selection of one of the items.

Claims

1. A computer-implemented method for generating a recommendation of a personalized ensemble, said computer-implemented method comprising:

accessing customer data associated with a customer;

enabling display of items on a three-dimensional shape;

enabling selection of one of said items; and

dynamically generating a recommendation of a personalized ensemble for said customer based on said selection of one of said items.

2. The computer-implemented method of claim 1, wherein said accessing customer data further comprises:

accessing customer data, wherein at least a subset of said customer data is not required to be associated with said selection of one of said items for purchase.

3. The computer-implemented method of claim 1, wherein said accessing customer data further comprises:

accessing customer data from a retailer.

4. The computer-implemented method of claim 1, wherein said accessing customer data further comprises:

accessing purchase history of said customer.

5. The computer-implemented method of claim 1, wherein said accessing customer data further comprises:

accessing social media information of said customer.

6. The computer-implemented method of claim 1, wherein said enabling display of items on a three-dimensional shape further comprises:

enabling display of items on a three-dimensional carousel.

7. The computer-implemented method of claim 1, wherein said enabling selection of one of said items further comprises:

enabling selection of one of said items located in a rear of said three-dimensional shape.

8. The computer-implemented method of claim 1, wherein said dynamically generating a recommendation of a personalized ensemble further comprises:

dynamically generating a recommendation of a personalized ensemble for said customer based on said customer data.

9. The computer-implemented method of claim 1, wherein said dynamically generating a recommendation of a personalized ensemble further comprises:

dynamically generating a recommendation of a personalized ensemble comprising coordinated items.

10. The computer-implemented method of claim 1, wherein said dynamically generating a recommendation of a personalized ensemble further comprises:

dynamically generating a recommendation of a personalized ensemble that is unique to said customer.

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

generating a correlation table based on said customer data.

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

dynamically generating a hierarchy of recommendations.

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

enabling display of said recommendation in proximity to said selection of said one of said items.

14. A non-transitory computer-readable storage medium having instructions embodied therein when executed cause a computer system to perform a method for generating a recommendation of a personalized ensemble, said method comprising:

accessing customer data associated with a customer;

enabling bookmarking items of interest from a plurality of displayed items, wherein said displayed items are oriented about a three-dimensional shape; and

dynamically generating a recommendation of a personalized ensemble for said customer based on a selected bookmarked item of interest.

15. The non-transitory computer-readable storage medium of claim 14, wherein said accessing customer data further comprises:

accessing customer data, wherein at least a subset of said customer data is not required to be associated with said selection of one of said items for purchase.

16. The non-transitory computer-readable storage medium of claim 14, wherein said accessing customer data further comprises:

accessing purchase history of said customer.

17. The non-transitory computer-readable storage medium of claim 14, wherein said accessing customer data further comprises:

accessing social media information of said customer.

18. The non-transitory computer-readable storage medium of claim 14, wherein said dynamically generating a recommendation of a personalized ensemble further comprises:

dynamically generating a recommendation of a personalized ensemble for said customer based on said customer data.

19. The non-transitory computer-readable storage medium of claim 14, wherein said dynamically generating a recommendation of a personalized ensemble further comprises:

dynamically generating a recommendation of a personalized ensemble that is unique to said customer.

20. The non-transitory computer-readable storage medium of claim 14, further comprising:

enabling displaying said recommendation of a personalized ensemble.

21. The non-transitory computer-readable storage medium of claim 14, further comprising:

enabling displaying said bookmarked items of interest in a filmstrip format.