IP Library Granted Patent US 12694869
Granted Patent B2
US 12694869 · App. 18/597,683 · Granted Jul 28, 2026

Systems and methods for advanced voice monitoring and analysis

Inventors: Anthony Welcome (Mesa, AZ); Kimberly C. Kloeppel (Mesa, AZ)
Assignee: State Farm Mutual Automobile Insurance Company
G10L15/1822G10L15/063G10L15/22G10L15/30G10L25/63H04M3/5133G10L2015/088
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Quick Facts
Patent No.
US 12694869
App. No.
18/597,683
Granted
Jul 28, 2026
Kind
B2
Abstract

A computer system is provided and is programmed to: (1) receive an audible caller statement originating from a caller being routed to the representative; (2) parse the audible caller statement; (3) identify one or more key words from the parsed audible caller statement; (4) search an information database for one or more items of information based upon the one or more key words; (5) identify at least one of the one or more items of information to present to the representative; and (6) transmit the at least one identified items of information to be presented to the representative.

Claims (46)

1 . A computer system comprising at least one processor in communication with at least one memory device, and further in communication with a user device associated with a representative servicing a caller, wherein the at least one processor programmed to:

receive data representing an audible caller statement that originates from a caller having been routed to the representative;

parse the audible caller statement;

electronically identify one or more key words from the parsed audible caller statement;

initiate a key word search within a reference database for one or more items of information based upon the one or more key words;

identify at least one of the one or more items of information to present to the representative via the user device; and

transmit the at least one identified items of information to be presented to the representative.

2 . The computer system of claim 1 , wherein the at least one processor is further programmed to determine a relevancy score for each of the one or more items.

3 . The computer system of claim 2 , wherein the at least one processor is further programmed to identify at least one of the one or more items to present to the representative based upon the corresponding relevancy score.

4 . The computer system of claim 3 , wherein the at least one processor is further programmed to:

compare the plurality of relevancy scores to a threshold; and

identify items where the relevancy score exceeds the threshold.

5 . The computer system of claim 4 , wherein the at least one processor is further programmed to identify a predetermined number of items of information that exceeds the threshold.

6 . The computer system of claim 2 , wherein the at least one processor is further programmed to transmit the corresponding relevancy score with the at least one identified items of information to be presented to the representative.

7 . The computer system of claim 1 , wherein the at least one processor is further programmed to transmit the at least one identified item of information to a user device associated with the representative.

8 . The computer system of claim 7 , wherein the at least one processor is further programmed to:

generate instructions to cause the user device to display the at least one identified item of information via a display of the user device; and

transmit the instructions to the user device associated with the representative.

9 . The computer system of claim 7 , wherein the at least one processor is further programmed to receive feedback from the representative for the at least one identified items of information.

10 . The computer system of claim 9 , wherein the at least one processor is further programmed to adjust at least one subsequent relevancy score based upon the feedback.

11 . The computer system of claim 1 , wherein the at least one processor is further programmed to:

receive one or more audible representative statements;

parse the received one or more audible representative statements;

combine the parsed audible representative statements and the parsed audible caller statements to determine a plurality of key words; and

determine at least one item of information associated with the plurality of key words.

12 . The computer system of claim 1 , wherein the at least one processor is further programmed to detect a mood of the caller based upon one or more parsed statements.

13 . The computer system of claim 12 , wherein the at least one processor is further programmed to identify the at least one item of information based upon the detected mood of the caller.

14 . The computer system of claim 12 , wherein the at least one processor is further programmed to train a model to detect the mood of a caller based upon a plurality of historical conversations between callers and representatives.

15 . The computer system of claim 1 , wherein the items of information include at least one of a script, an article, a checklist, a description, and a how to guide.

16 . The computer system of claim 1 , wherein the audible caller statement is parsed using natural language processing.

17 . A computer-implemented method performed by a conversation monitoring and analysis (CMA) computer device including at least one processor in communication with at least one memory device, the CMA computer device in communication with a user device associated with a representative servicing a caller, the method comprising:

receiving data representing an audible caller statement that originates from a caller having been routed to the representative;

parsing the audible caller statement;

electronically identifying one or more key words from the parsed audible caller statement;

initiating a key word search within a reference database for one or more items of information based upon the one or more key words;

identifying at least one of the one or more items of information to present to the representative via the user device; and

transmitting the at least one identified items of information to be presented to the representative.

18 . The computer-implemented method of claim 17 further comprising determining a relevancy score for each of the one or more items.

19 . The computer-implemented method of claim 18 further comprising identifying at least one of the one or more items to present to the representative based upon the corresponding relevancy score.

20 . At least one non-transitory computer-readable media having computer-executable instructions embodied thereon, wherein when executed by a computing device including at least one processor in communication with at least one memory device and in communication with a user device associated with a representative servicing a caller, the computer-executable instructions cause the at least one processor to:

receive data representing an audible caller statement that originates from a caller having been routed to the representative;

parse the audible caller statement;

electronically identify one or more key words from the parsed audible caller statement;

initiate a key word search within a reference database for one or more items of information based upon the one or more key words;

identify at least one of the one or more items of information to present to the representative via the user device; and

transmit the at least one identified items of information to be presented to the representative.