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:
Nov. 22, 2022

Filed:

Dec. 20, 2018
Applicant:

Massachusetts Mutual Life Insurance Company, Springfield, MA (US);

Inventors:

Gareth Ross, Amherst, MA (US);

Andrew Reagan, Springfield, MA (US);

Randall Schwager, Englewood, CO (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04M 3/51 (2006.01); H04M 3/523 (2006.01); G06Q 30/02 (2012.01); G06N 20/00 (2019.01); G06N 5/04 (2006.01);
U.S. Cl.
CPC ...
H04M 3/5235 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 30/0202 (2013.01); H04M 3/5191 (2013.01); H04M 3/5238 (2013.01);
Abstract

A call management system of a call center identifies an inbound caller based upon computer analysis of customer identifiers, which may include at least two of customer name, street address, and zip code. Approximate string matching analysis matches n-grams generated from strings within customer identifiers, with n-grams generated from customer identification fields while searching one or more databases. Approximate string matching can incorporate a closeness metric based on Jaccard distance, and a Gaussian mixture model of best matches. In one embodiment, a polymr search engine analyzes customer identifiers of inbound callers to retrieve customer data, such as customer demographic data, matched to the customer identifiers. In another embodiment, the polymr search engine analyzes customer identifiers of inbound callers to identify repeat callers and retrieve previously collected customer data. Retrieved customer data is used in predictive modeling and scoring value of the inbound call, and in routing the scored inbound call.


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