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:
Sep. 03, 2024

Filed:

Mar. 30, 2023
Applicant:

Walgreen Co., Deerfield, IL (US);

Inventors:

Gunjan Dhanesh Bhow, Menlo Park, CA (US);

Ajumobi O. Udechukwu, Lake Forest, IL (US);

Ryan M. Snedden, Chicago, IL (US);

Brian C. Tyrrell, Western Springs, IL (US);

Assignee:

WALGREEN CO., Deerfield, IL (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06Q 30/0207 (2023.01); G06Q 30/0235 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0224 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 30/0235 (2013.01);
Abstract

An offer decay generation model determines, for a particular customer, a personalized optimal offer decay curve of an incentive corresponding to a product provided by an enterprise, where the offer decay curve defines a set of decreasing incentive values and respective time intervals during which each incentive value is valid. The offer decay generation model is trained on historical data indicative of customers, customer interactions, offered incentives, resulting outcomes of the incentives, and time intervals elapsing between incentives and resulting outcomes. As such, the optimized offer decay curve is structured to maximize a probability that the particular customer is motivated to accept the incentive offer, purchase a product, and/or further interact with the enterprise during the lifetime of the offer decay curve. The offer decay curve may unique to the individual customer, and may be further customized based on other parameters such as location, time/day/date, inventories, etc.


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