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:
Aug. 10, 2021

Filed:

Jan. 11, 2019
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Revathi Subramanian, San Diego, CA (US);

Hongrui Gong, San Diego, CA (US);

Ibrahim Ali Odeh Al-Shyoukh, Loma Linda, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/04 (2012.01); G06N 20/20 (2019.01); G06F 16/387 (2019.01); G06Q 40/00 (2012.01); G06Q 30/04 (2012.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06Q 10/04 (2013.01); G06F 16/387 (2019.01); G06K 9/6257 (2013.01); G06N 20/20 (2019.01); G06Q 30/04 (2013.01); G06Q 40/12 (2013.12);
Abstract

A device may receive data that includes invoice data related to historical invoices from an organization, contact data related to historical contacts between the organization and various entities, and dispute data related to historical disputes between the organization and the various entities. The device may determine a profile for the data. The device may determine a set of supervised learning models for the historical invoices based on one or more of the historical contacts, the historical disputes, the historical invoices, or historical patterns related to the historical invoices. The device may determine, using the profile, a set of unsupervised learning models for the historical invoices independent of the one or more of the historical contacts, the historical disputes, or the historical patterns. The device may determine, utilizing a super model, a prediction for the invoice after the super model is trained. The device may perform one or more actions.


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