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:
Oct. 31, 2023

Filed:

Oct. 13, 2021
Applicant:

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

Inventors:

Geoffrey Dagley, McKinney, TX (US);

Stephen Anderson, Plano, TX (US);

Stephen Wylie, Carrollton, TX (US);

Qiaochu Tang, The Colony, TX (US);

Micah Price, Plano, TX (US);

Jason Hoover, Grapevine, TX (US);

Kristen Przano, Dallas, TX (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/0202 (2023.01); G06Q 30/0201 (2023.01); G06N 20/00 (2019.01); G06Q 20/38 (2012.01); G06Q 20/40 (2012.01); G06F 18/23 (2023.01); G06F 18/214 (2023.01); G06F 18/2137 (2023.01); G06F 18/2413 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0202 (2013.01); G06F 18/214 (2023.01); G06F 18/2137 (2023.01); G06F 18/23 (2023.01); G06F 18/24147 (2023.01); G06N 20/00 (2019.01); G06Q 20/389 (2013.01); G06Q 20/405 (2013.01); G06Q 20/4016 (2013.01); G06Q 30/0201 (2013.01);
Abstract

A computer-implemented method for using a machine-learning trained predictive engine to predict failures includes receiving electronic prior transaction data corresponding to a plurality of prior successful transactions and a plurality of prior unsuccessful transactions, and training a machine learning predictive engine based on the plurality of prior successful transactions and the plurality of prior unsuccessful transactions. Electronic transaction data may be received, the electronic transaction data being associated with a user, an item, and candidate transaction terms, the electronic transaction data being associated with a candidate transaction. The machine learning predictive engine may determine a likelihood of success of the candidate transaction based on the electronic transaction data, and display the likelihood of success of the candidate transaction.


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