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:
Dec. 03, 2024

Filed:

Aug. 17, 2020
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Joshua Edwards, Midlothian, VA (US);

Lukiih Cuan, Washington, DC (US);

Latika Gulati, Annandale, VA (US);

Assignee:

CAPITAL ONE SERVICES, LLC, McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 20/20 (2012.01); G06N 20/00 (2019.01); G06Q 30/0201 (2023.01); G06V 20/40 (2022.01); G06V 40/16 (2022.01); H04W 4/029 (2018.01); H04W 84/12 (2009.01);
U.S. Cl.
CPC ...
G06Q 20/201 (2013.01); G06N 20/00 (2019.01); G06Q 20/202 (2013.01); G06Q 20/203 (2013.01); G06Q 20/208 (2013.01); G06Q 30/0206 (2013.01); G06V 20/41 (2022.01); G06V 40/161 (2022.01); H04W 4/029 (2018.02); G06V 20/44 (2022.01); H04W 84/12 (2013.01);
Abstract

An exemplary system, method, and computer-accessible medium for determining product abandonment for an item(s) can include receiving first information related to a plurality of in-person transactions for a plurality of customers from a point of sale (POS) device(s) located at a merchant(s), where the first information can include transaction information related to the item(s), determining second information related to a reduction of a quantity of the item(s) from the first information by an operator(s) of the POS device(s), generating third information by identifying particular transactions that include the reduction of the quantity, and determining the product abandonment based on the third information by applying (i) a pattern recognition procedure or (ii) a machine learning procedure to the third information. The first information can include in-person transactions that occurred over a particular period of time, and the particular period of time can correspond to a sales cycle of the merchant(s).


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