The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 22, 2025

Filed:

May. 03, 2024
Applicant:

Walmart Apollo, Llc, Bentonville, AR (US);

Inventors:

Hyun Duk Cho, San Francisco, CA (US);

Swati Bhatt, Mountain View, CA (US);

Vidya Sagar Kalidindi, Milpitas, CA (US);

Kamiya Motwani, Madhya Pradesh, IN;

Sushant Kumar, San Jose, CA (US);

Kannan Achan, Saratoga, CA (US);

Assignee:

Walmart Apollo, LLC, Bentonville, AR (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0601 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0629 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0635 (2013.01); G06Q 30/0641 (2013.01);
Abstract

A system is configured to train a customer understanding model to generate a preference score for substitution items. The customer understanding model generates a preference score for each of a plurality of related substitution items based on order data including data indicative of at least one item ordered and location data indicating a location of a first store. The customer understanding model ranks each of the substitution items based on the preference score. Order data is transmitted including substitution data identifying each of the substitution items and corresponding rank. Performance data associated with a set of operations implemented based on the order data and the substitution data is obtained. An updated customer understanding model is trained based on the performance data and iteratively modified based on the updated training dataset and updated performance metrics generated from second performance data.


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