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. 03, 2023

Filed:

Dec. 14, 2020
Applicant:

Amdocs Development Limited, Limassol, CY;

Inventors:

Eyal Felstaine, Herzliya, IL;

Gad Yitzhak Weissman, Hod Hasharon, IL;

Marina Ankri, Karnei Shomron, IL;

Nimrod Sandlerman, Ramat Gan, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 20/12 (2012.01); G06Q 30/016 (2023.01); G06Q 40/12 (2023.01); G06Q 10/10 (2023.01); G06Q 30/04 (2012.01); H04M 3/523 (2006.01); H04M 15/00 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06Q 30/016 (2013.01); G06N 20/00 (2019.01); G06Q 10/10 (2013.01); G06Q 30/04 (2013.01); G06Q 40/12 (2013.12); H04M 3/523 (2013.01); H04M 15/41 (2013.01); H04M 15/67 (2013.01); H04M 15/90 (2013.01); G06Q 20/127 (2013.01);
Abstract

A system, method, and computer program are provided for processing a billing item. In use, a first dataset is collected including a plurality of records. The first dataset includes customer records, billing records (with billing item(s)) for each of the customers, and call incident records (with calling customer identification, billing record identification, and billing item identification). Additionally, a first AI-model is trained using the first dataset to recognize at least one pair of a first customer type and a first billing item type, and an associated first probability that such pair results in a call to the call-center. Further, a second dataset is collected including new billing records. The first AI-model is used to detect at least one billing record in the second dataset having probability higher than a redefined threshold probability that the customer associated with the billing record will call a call-center.


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