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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.

Patent No.:

US 12327274 B1

PDFFull Text
Date of Patent:
Jun. 10, 2025

Filed:

Jun. 14, 2023

Automatic initialization of customer assistance based on computer vision analysis

Applicant:

Walgreen Co., Deerfield, IL (US);

Inventor:

Oliver Derza, Willowbrook, IL (US);

Assignee:

WALGREEN CO., Deerfield, IL (US);

Attorneys:

MARSHALL, GERSTEIN & BORUN LLP

Randall G. Rueth

Primary Examiner:

Santiago Garcia

Int. Cl.
CPC ...
G06Q 30/0601 (2023.01); B64C 39/02 (2023.01); B64U 101/00 (2023.01); G06F 3/14 (2006.01); G06F 18/214 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06Q 20/18 (2012.01); G06Q 30/02 (2023.01); G06T 7/20 (2017.01); G06T 7/70 (2017.01); G06V 40/20 (2022.01);
U.S. Cl.
CPC ...
G06Q 30/0613 (2013.01); B64C 39/024 (2013.01); G06F 3/14 (2013.01); G06F 18/214 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 20/18 (2013.01); G06Q 30/0281 (2013.01); G06T 7/20 (2013.01); G06T 7/70 (2017.01); G06V 40/20 (2022.01); B64U 2101/00 (2023.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30201 (2013.01);
Abstract

Techniques for automatically initializing customer assistance in a retail store based on video analysis are provided. An exemplary method includes retrieving video data from a database and extracting one or more features from the video data. The method also includes identifying a product is missing on a store shelf based on the one or more features. The method includes training an artificial intelligence model using the one or more features to identify a customer needs assistance, and applying the trained artificial intelligence model to predict a customer needs assistance at a particular location in the store. The method includes sending a notification to a computing device of a customer service representative, wherein the notification identifies the customer, the customer's location, and information about the missing product.

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