IP Library Granted Patent US 11,706,339
Granted Patent B2
US 11,706,339 · App. 16/668,265 · Granted Jul 18, 2023

System and method for communication analysis for use with agent assist within a cloud-based contact center

Inventors: Jafar Adibi (Los Angeles, CA); Tiago Paiva (San Francisco, CA); Charanya Kannan (Oakland, CA); Bruno Antunes (São Silvestre, PT); Joao Carmo (Oporto, PT); Marco Costa (Lisbon, PT)
Assignee: Talkdesk, Inc.
H04M3/5183G06F9/54G06F16/2379G06F16/248G06F16/2425G06F16/24575G06F16/252G06F16/9038G06F16/90335G06F16/953G06F16/9535G06F16/9538G06F40/174G06F40/205G06F40/279G06F40/30G06N3/006G06N5/02G06N5/04G06N20/00G06Q10/107G06Q10/1095G06Q30/016G10L15/02G10L15/1815G10L15/1822G10L15/22G10L15/26G10L15/30G10L17/00G10L17/06G10L21/0272G10L25/63H04L67/10H04M3/42382H04M3/4933H04M3/4936H04M3/4938H04M3/5141H04M3/5166H04M3/5175H04M3/5191H04M3/5232H04M3/5233H04M3/5235H04M3/5237H04M11/10H04W4/14G06F3/0484G06F3/0485G10L2015/088G10L2015/223H04M2201/40H04M2201/41H04M2203/558H04M2203/6045H04M2203/6072
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Quick Facts
Patent No.
US 11,706,339
App. No.
16/668,265
Granted
Jul 18, 2023
Kind
B2
Abstract

Methods to reduce agent effort and improve customer experience quality through artificial intelligence. The Agent Assist tool provides contact centers with an innovative tool designed to reduce agent effort, improve quality and reduce costs by minimizing search and data entry tasks The Agent Assist tool is natively built and fully unified within the agent interface while keeping all data internally protected from third-party sharing.

Claims (60)

1. A method, comprising:

receiving a communication from a customer;

automatically analyzing the communication to determine a subject of the customer's communication;

automatically querying a database of communications between other customers and agents related to the subject of the customer's communication;

determining at least one responsive answer to the subject from the database; and providing the at least one responsive answer to an agent during the communication.

2. The method of claim 1 , further comprising populating the database with information about other communications, wherein the information includes, for at least one of the other communications, at least one of a time of, a duration of, a topic of, and/or a frequency of words in the at least one of the other communications.

3. The method of claim 1 , wherein the communication is in textual form, the method further comprising:

displaying text input by the customer in a first field of a unified interface;

parsing the text input by the customer for key terms;

querying the database using the key terms; and

displaying responsive results from the database as the at least one responsive answer in a second field in the unified interface.

4. The method of claim 3 , further comprising:

querying a customer relationship management (CRM) platform/a customer service management (CSM) platform using the key terms; and

displaying responsive results from the CRM/CSM in the second field in the unified interface.

5. The method of claim 1 , further comprising:

receiving the communication as speech;

converting the speech to text;

determining intent from the text; and

parsing the text for key terms.

6. The method of 5 , further comprising:

querying a customer relationship management (CRM) platform/a customer service management (CSM) platform using the key terms; and

displaying responsive results from the CRM/CSM in a unified interface.

7. The method of claim 5 , further comprising:

querying a database of customer-agent transcripts using the key terms; and

displaying responsive results from the database of customer-agent transcripts in a unified interface.

8. The method of claim 1 , wherein the communication is a multi-channel communication and received as one of an SMS text, voice call, e-mail, chat, interactive voice response (IVR)/intelligent virtual agent (IVA) systems, and social media.

9. The method of claim 1 , wherein all steps are accomplished by executing an agent assist functionality of an automation infrastructure within a cloud-based contact center that includes a communication manager, a speech-to-text converter, a natural language processor, and an inference processor exposed by application programming interfaces.

10. A cloud-based software platform comprising:

one or more computer processors; and

one or more computer-readable mediums storing instructions that, when executed by the one or more computer processors, cause the cloud-based software platform to perform operations comprising:

receiving a communication from a customer;

automatically analyzing the communication to determine a subject of the customer's communication;

automatically querying a database of communications between other customers and agents related to the subject of the customer's communication;

determining at least one responsive answer to the subject from the database; and

providing the at least one responsive answer to an agent during the communication.

11. The cloud-based software platform of claim 10 , wherein the operations further comprise populating the database with information about the other communications, wherein the information includes, for at least one of the other communications, at least one of a time of, a duration of, a topic of and/or, a frequency of words in the at least one of the other communications.

12. The cloud-based software platform of claim 10 , wherein the communication is in textual form, further comprising instructions to cause operations comprising:

displaying text input by the customer in a first field of a unified interface;

parsing the text input by the customer for key terms;

querying the database using the key terms; and

displaying responsive results from the database as the at least one responsive answer in a second field in the unified interface.

13. The cloud-based software platform of claim 12 , further comprising instructions to cause operations comprising:

querying a customer relationship management (CRM) platform/a customer service management (CSM) platform using the key terms; and

displaying responsive results from the CRM/CSM in the second field in the unified interface.

14. The cloud-based software platform of claim 10 , further comprising instructions to

cause operations comprising:

receiving the communication as speech;

converting the speech to text;

determining intent from the text; and

parsing the text for key terms.

15. The cloud-based software platform of 14 , further comprising instructions to cause

operations comprising:

querying a customer relationship management (CRM) platform/a customer service management (CSM) platform using the key terms; and

displaying responsive results from the CRM/CSM in a unified interface.

16. The cloud-based software platform of claim 14 , further comprising instructions to

cause operations comprising:

querying a database of customer-agent transcripts using the key terms; and

displaying responsive results from the database of customer-agent transcripts in a unified interface.

17. The cloud-based software platform of claim 10 , wherein the communication is a multi-channel communication and received as one of an SMS text, voice call, e-mail, chat, interactive voice response (IVR)/intelligent virtual agent (IVA) systems, and social media.

18. The cloud-based software platform of claim 10 , further comprising a communication manager, a speech-to-text converter, a natural language processor, and an inference processor exposed by application programming interfaces.

Assignments (4)
SECURITY INTEREST Recorded Sep 18, 2025
From: TALKDESK, INC.
To: HSBC BANK USA, N.A.
Reel/Frame 072293/0160 →
SECURITY INTEREST Recorded Jan 24, 2024
From: TALKDESK, INC.
To: HSBC BANK USA, N.A.
Reel/Frame 066226/0834 →
SECURITY INTEREST Recorded Nov 3, 2022
From: TALKDESK, INC.
To: HSBC BANK USA, N.A.
Reel/Frame 061878/0034 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 17, 2020
From: ADIBI, JAFAR; PAIVA, TIAGO; ANTUNES, BRUNO; KANNAN, CHARANYA; CARMO, JOAO; COSTA, MARCO
To: TALKDESK, INC.
Reel/Frame 054086/0852 →