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:
Jun. 23, 2026

Filed:

Feb. 16, 2023
Applicant:

Cvs Pharmacy, Inc., Woonsocket, RI (US);

Inventors:

Samta Shukla, Woonsocket, RI (US);

Mukul Sankule, Woonsocket, RI (US);

Diego Juarez, Woonsocket, RI (US);

Delfina Iriarte, Woonsocket, RI (US);

Nicolás García Aramouni, Woonsocket, RI (US);

John R. Cybulski, Woonsocket, RI (US);

Halil Cobuloglu, Woonsocket, RI (US);

Assignee:

CVS Pharmacy, Inc., Woonsocket, RI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06N 20/00 (2019.01); G06Q 30/0202 (2023.01); G06Q 30/0204 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0202 (2013.01); G06N 20/00 (2019.01); G06Q 30/0204 (2013.01);
Abstract

A method is provided. The method includes: obtaining a new marketing promotion for a particular product; determining, based on the particular product, a first product segment from a plurality of product segments; determining, by the PFCS, one or more promotional forecasting machine learning-artificial intelligence (ML-AI) models from a plurality of promotional forecasting ML-AI models to use for the new marketing promotion based on the first product segment; inputting promotional information associated with the new marketing promotion into the one or more determined promotional forecasting ML-AI models to forecast an amount of the particular product to provide to one or more storefronts; and providing product information indicating the amount of the particular product to one or more facility computing systems associated with the one or more storefronts.


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