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:
May. 02, 2023

Filed:

Aug. 25, 2020
Applicant:

United Services Automobile Association (Usaa), San Antonio, TX (US);

Inventors:

Rachel Elizabeth Csabi, Frisco, TX (US);

Hollie Ilene King, Frisco, TX (US);

Victor Kwak, Frisco, TX (US);

Zachery C. Lake, The Colony, TX (US);

Yogen Rai, Frisco, TX (US);

Samantha Elizabeth Taylor, Frisco, TX (US);

Nicholas C. Wheeler, Frisco, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04M 3/00 (2006.01); H04M 5/00 (2006.01); H04M 3/523 (2006.01); H04M 3/51 (2006.01); G10L 25/63 (2013.01); G10L 25/90 (2013.01); G06N 20/00 (2019.01); G06N 5/04 (2006.01); G10L 15/22 (2006.01); H04L 12/66 (2006.01);
U.S. Cl.
CPC ...
H04M 3/5232 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G10L 15/22 (2013.01); G10L 25/63 (2013.01); G10L 25/90 (2013.01); H04M 3/5166 (2013.01); H04M 3/5183 (2013.01); H04M 2203/2061 (2013.01); H04M 2203/40 (2013.01);
Abstract

Systems and methods are provided for dynamic routing of an automated telephony system. The automated telephony system facilitates functions desired by a caller, via an automated call with the caller. A machine-learning analysis system extracts data from the automated call, performs machine-learning via the extracted data to identify a likely motivation of the caller associated with the automated call, and provides the likely motivation to the automated telephony system. The automated telephony system then receive the likely motivation from the machine-learning analysis system and dynamically routes the automated call based upon the likely motivation.


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