IP Library Granted Patent US 11,902,467
Granted Patent B1
US 11,902,467 · App. 16/185,839 · Granted Feb 13, 2024

System and method of directed flow interactive chat

Inventors: Prabhat Dahal (Omaha, NE); Geoff Finch (Omaha, NE); Steven Heithoff (Elkhorn, NE); Mike Lindner (Omaha, NE); Sarath Ravindran (Omaha, NE); Mayank Sawala (Omaha, NE)
Assignee: INTRADO CORPORATION
H04M3/5166H04M3/5235
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Quick Facts
Patent No.
US 11,902,467
App. No.
16/185,839
Granted
Feb 13, 2024
Kind
B1
Abstract

A method is provided. The method comprises a computer performing receiving notice of an incoming inquiry originated by a customer device. The method further comprises the computer performing instantiating a session with the customer device, the session performing comprising the computer combining chatbot functionality and flow control functionality. The method further comprises the computer performing a prompt to the customer device, the prompt comprising a set of valid selections. The method further comprises the computer performing receiving a selection from the customer device. The method further comprises the computer, performing based on the received selection, at least one of providing information to the customer device and routing the inquiry.

Claims (43)

1. A method comprising:

instantiating, via a computer, a session with a customer device;

conducting, during the session, chatbot functionality which comprises providing auditory and textual exchanges via a conversation between the customer device and the computer via auditory and textual simulation;

identifying a response sought from a user of the customer device;

generating a vocal prompt which seeks to induce the response sought from the user and playing the vocal prompt via the conversation, wherein, when played, the vocal prompt comprises a description of a set of exemplary selections and a request for a response similar to the set of exemplary selections;

receiving, via the computer, a voice response from the customer device;

matching, via the computer, the voice response to a corresponding selection from the set of exemplary selections, wherein the selection comprises an inquiry; and

deciding, via the computer, whether to route a flow of chat from the customer device to a human-controlled chatbot or to an automated artificial intelligence (AI) chatbot during the session based on the selection and routing the inquiry based on the deciding.

2. The method of claim 1 , wherein the session is not controlled by a human agent.

3. The method of claim 1 , wherein the session is not controlled by artificial intelligence means.

4. The method of claim 1 , wherein the vocal prompt comprises predefined questions for the user of the customer device.

5. The method of claim 1 , further comprising:

controlling the session by at least one of flow and processing of inputs.

6. The method of claim 5 , wherein the inputs are at least one of voice and keypad entry provided by the customer device.

7. The method of claim 1 , further comprising:

routing the inquiry to the human-controlled chatbot based on at least one of a customer device input and a determination of customer need.

8. The method of claim 1 , further comprising:

the computer using application programming interfaces (API) to address the inquiry.

9. A system comprising:

a computer and a processor; and

a memory storing an application that executed by the processor causes the processor to:

instantiate a session between the computer a customer device;

conduct, during the session, chatbot functionality which comprises providing auditory and textual exchanges via a conversation between the customer device and the computer via auditory and textual simulation;

identify a response sought from a user of the customer device;

generate a vocal prompt which seeks to induce the response sought from the user and play the vocal prompt via the conversation, wherein, when played, the vocal prompt comprises a description of a set of exemplary selections and a request for a response similar to the set of exemplary selections;

receive a voice response from the customer device;

match the voice response to a corresponding selection from the set of exemplary selections, wherein the selection comprises an inquiry; and

decide whether to route a flow of data from the customer device to a human-controlled chatbot or to an automated artificial intelligence (AI) chatbot during the session based on the selection and route the inquiry based on the deciding.

10. The system of claim 9 , wherein the vocal prompt vocal prompt comprises predefined questions for a user of the customer device.

11. The system of claim 9 , wherein the processor further controls the session by at least one of processing flow and processing of inputs.

12. The system of claim 11 , wherein the inputs are at least one of voice and keypad entry provided by the customer device.

13. The system of claim 9 , wherein the processor routes the inquiry to the human-controlled chatbot based on at least one of a customer device input and a determination of customer need.

14. A non-transitory computer readable storage medium configured to store one or more instructions that when executed by a processor cause the processor to perform:

instantiating a session between a computer and a customer device;

conducting, during the session, chatbot functionality which comprises providing auditory and textual exchanges via a conversation between the customer device and the computer via auditory and textual simulation;

identifying a response sought from a user of the customer device;

generating a vocal prompt which seeks to induce the response sought from the user and playing the vocal prompt via the conversation, wherein, when played, the vocal prompt comprises a description of a set of exemplary selections and a request for a response similar to the list of exemplary selections;

receiving a voice response from the customer device;

matching the voice response to a corresponding selection from the set of exemplary selections, wherein the selection comprises an inquiry; and

deciding whether to route a flow of data from the customer device to a human-controlled chatbot or to an automated artificial intelligence (AI) chatbot during the session based on the deciding.

15. The non-transitory computer readable storage medium of claim 14 , wherein the vocal prompt comprises predefined questions for a user of the customer device.

16. The non-transitory computer readable storage medium of claim 14 , wherein the session is controlled by at least one of processing flow and processing of inputs.

17. The non-transitory computer readable storage medium of claim 16 , wherein the inputs are at least one of voice and keypad entry provided by the customer device.

Assignments (5)
OMNIBUS ASSIGNMENT OF SECURITY INTEREST IN INTELLECTUAL PROPERTY Recorded Nov 25, 2024
From: UBS AG, STAMFORD BRANCH (AS SUCCESSOR TO CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH IN ITS CAPACITY AS COLLATERAL AGENT)
To: WILMINGTON TRUST, NATIONAL ASSOCIATION, AS THE SUCCESSOR COLLATERAL AGENT
Reel/Frame 069438/0775 →
CHANGE OF NAME Recorded Jun 26, 2023
From: INTRADO CORPORATION
To: WEST TECHNOLOGY GROUP, LLC
Reel/Frame 064103/0774 →
NOTICE OF GRANT OF SECURITY INTEREST (SECOND LIEN) IN PATENTS Recorded Jan 31, 2023
From: CX360, INC.; WEST TECHNOLOGY GROUP, LLC (FKA INTRADO CORPORATION, FKA WEST CORPORATION); INTRADO INTERACTIVE SERVICES CORPORATION (FKA WEST INTERACTIVE SERVICES CORPORATION, FKA COBALT ACQUISITION COMPANY)
To: U.S. BANK TRUST COMPANY, NATIONAL ASSOCIATION, AS COLLATERAL AGENT
Reel/Frame 062571/0018 →
NOTICE OF GRANT OF SECURITY INTEREST IN PATENTS - FIRST LIEN Recorded May 22, 2019
From: WEST CORPORATION
To: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH, AS COLLATERAL AGENT
Reel/Frame 049255/0843 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 9, 2018
From: DAHAL, PRABHAT; FINCH, GEOFF; HEITHOFF, STEVEN; LINDNER, MIKE; RAVINDRAN, SARATH; SAWALA, MAYANK
To: WEST CORPORATION
Reel/Frame 047464/0258 →