IP Library Granted Patent US 10,582,056
Granted Patent B2
US 10,582,056 · App. 16/386,511 · Granted Mar 3, 2020

Communication channel customer journey

Inventors: Michael C. Dwyer (Fort Myers, FL); Erik A. Strand (Fort Myers, FL); Scott R. Wolf (Fort Myers, FL); Frank Salinas (Fort Myers, FL); Jeffrey A. Gallino (Lexington, MA); Scott A. Kendrick (Fort Myers, FL); Shaoyu Xue (Valrico, FL)
Assignee: CallMiner, Inc.
H04M3/5175G06F17/2765G06F17/2785G06F21/6254G10L15/02G10L15/1815G10L15/26G10L15/30G10L25/72H04M3/42221H04M3/5191G10L2015/088H04M2203/301H04M2203/303H04M2203/401H04M2203/551H04M2203/6009
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Quick Facts
Patent No.
US 10,582,056
App. No.
16/386,511
Granted
Mar 3, 2020
Kind
B2
Abstract

A communication channel customer journey may involve receiving a first communication on a communication channel of a plurality of communication channels, wherein the first communication is associated with a contact, receiving at least one additional communication from the contact, wherein the at least one additional communication is on a same communication channel or is on a different communication channel of the plurality of communication channels, linking the first communication and the at least one additional communication by the contact, wherein linking involves storing information from at least one of a recording, a transcript, a copy of one or more of the first communication and the at least one additional communication, a language characteristic, an acoustic characteristic, a category, and a score, and enabling a user to navigate between all of the stored information for the first communication and the at least one additional communication.

Claims (14)

1. A method of managing a customer journey, comprising:

receiving a first communication from a customer on a communication channel of a plurality of communication channels, wherein the first communication is associated with an enterprise;

receiving at least one additional communication from the customer, wherein the at least one additional communication is associated with the same enterprise and is on a same communication channel or is on a different communication channel of the plurality of communication channels;

analyzing the first communication and the at least one additional communication using a computer-based communications analytics facility for a language characteristic, a non-word symbol, and an acoustic characteristic;

analyzing the first communication and the at least one additional communication using a contextual analysis to obtain a context; and

determining a respective score associated with each of the first communication and the at least one additional communication using the language characteristic, the non-word symbol, the acoustic characteristic, and the context, wherein each score is a customer satisfaction score or a customer dissatisfaction score:

linking the first communication and the at least one additional communication as associated with the enterprise and being from the same customer, wherein linking involves storing information from at least one of a recording, a transcript, a copy of one or more of the first communication and the at least one additional communication, the language characteristic, or the acoustic characteristic, and storing the customer satisfaction or the dissatisfaction scores; and

enabling a user to navigate between all of the stored information for the first communication and the at least one additional communication in order to determine a cause of repeat contact for the customer with the enterprise based on the customer satisfaction or the dissatisfaction scores; wherein the customer satisfaction or the dissatisfaction score is an aggregation of the language characteristic, the acoustic characteristic, and the non-word symbol.

2. The method of claim 1 , wherein the plurality of communication channels comprise at least one of calls, chat, email, messaging, social media network, blogs, or surveys.

3. The method of claim 1 , wherein the contextual analysis is done by a contextual module that is structured to examine the first communication and the at least one additional communication for specific language characteristics, non-word symbols, or acoustic characteristics that indicate potential contextual relevance to subsequent or prior specific language characteristics, non-word symbols, or acoustic characteristics of the first communication and the at least one additional communication and, monitor the subsequent or prior language characteristics, non-word symbols, or acoustic characteristics of the first communication and the at least one additional communication for such potential contextual relevance after receiving the specific language characteristics, non-word symbols, or acoustic characteristics that indicate the potential contextual relevance to the subsequent or prior language characteristics, non-word symbols, or acoustic characteristics.

4. The method of claim 1 , wherein the customer satisfaction or the dissatisfaction score is based on a category for the first communication or the at least one additional communication, wherein the category is at least one of a behavior, a reason, a procedure, a competitor, a dissatisfaction, a transferred call, or a politeness.

5. The method of claim 1 , wherein the acoustic characteristic is at least one of a stress of words, an aggregated stress of a plurality of words, an agitation, a tempo, a change in tempo, an amount of silence, a silence between words, a gain in volume or energy of the words, a tone, an overtalk, a time lag between words or symbols, a time dependency between key words or phrases, an inter-word timing, an inter-word sequencing, an inter-word distance, an inflexion of words, or a temporal pattern.

6. The method of claim 1 , wherein the language characteristic is at least one of a sentiment, a score, a text, an alternative text, a placeholder word used in redaction, a language pattern, a phoneme, a word, a phrase, a placeholder word used in redaction, or a confidence in word match.

7. The method of claim 6 , wherein the language pattern is at least one of: an order of occurrence of portions of the text, an order of occurrence of portions of the text within a time frame, a Boolean relationship of portions of the text, a specific location in the first communication or the at least one additional communication, or a proximity of a topic.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 18, 2019
From: DWYER, MICHAEL C.; STRAND, ERIK A.; WOLF, SCOTT R.; SALINAS, FRANK; GALLINO, JEFFREY A.; KENDRICK, SCOTT A.; XUE, SHAOYU
To: CALLMINER, INC.
Reel/Frame 049499/0416 →
Continuity (5)
Continuation 15194742 · Jun 28, 2016
Continuation 14592510 · Jan 8, 2015
Provisional Application 61924909 · Jan 8, 2014
Provisional Application 62005857 · May 30, 2014
Related Publication 20190245974A1 · Aug 8, 2019
Cited By (6)
US 12,219,093 US 12,375,604 US 12,489,846 US 12,518,747 US 12,525,232 US 12,651,595