IP Library Granted Patent US 12,199,928
Granted Patent B2
US 12,199,928 · App. 17/819,495 · Granted Jan 14, 2025

Systems and methods for representative support in a task determination system

Inventors: Yoky Matsuoka (Los Altos Hills, CA); Defne Civelekoglu (Berkeley, CA); Gwendolyn W. van der Linden (Redwood City, CA); Nitin Viswanathan (San Francisco, CA); David L Warner (Woodside, CA); Lingyun Liu (Sunnyvale, CA); Benjamin Deming (Campbell, CA); Sean Paterson (Mountain View, CA)
Assignee: Yohana LLC
H04L51/02G06F40/279
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Quick Facts
Patent No.
US 12,199,928
App. No.
17/819,495
Granted
Jan 14, 2025
Kind
B2
Abstract

Systems and methods for implementing a representative support system in a task determination system are provided. The task determination system automatically receives in real-time a set of messages between a member and a representative as these messages are exchanged. The set of messages correspond to a set of proposals associated with a task. The task determination system automatically identifying a selection of a proposal from the set of proposals based on an analysis of the set of messages. Based on the selection, the task determination system generates a set of proposal tasks and processes communications associated with these proposal tasks to monitor performance of these proposal tasks for completion of the task.

Claims (53)

1. A computer-implemented method, comprising:

receiving in real-time a set of proposal messages between a member and a representative as the set of proposal messages is being exchanged, wherein the set of proposal messages corresponds to a set of proposals associated with a task, and wherein the set of proposals are generated based on the task and a member profile associated with the member;

automatically identifying in real-time a selection of one or more proposals from the set of proposals, wherein the selection is automatically identified based on a real-time analysis of the set of proposal messages;

automatically generating one or more proposal tasks performable to complete the task, wherein the one or more proposal tasks are automatically generated based on the selection;

processing in real-time a set of task performance messages exchanged between the representative and an assistant representative, wherein the set of task performance messages corresponds to performance of the one or more proposal tasks as the set of task performance messages is being exchanged;

automatically performing one or more operations associated with the performance of the one or more proposal tasks, wherein the one or more operations are automatically performed according to the set of task performance messages;

monitoring the performance of the one or more proposal tasks and the one or more operations, wherein the performance of the one or more proposal tasks and the one or more operations are monitored as the set of proposal messages and the set of task performance messages are being exchanged between the representative and the assistant representative; and

updating the member profile in real-time based on the task, the selection, and feedback corresponding to the set of proposal messages and the set of task performance messages.

2. The computer-implemented method of claim 1 , wherein the selection is detected based on one or more anchor terms automatically identified in the set of proposal messages.

3. The computer-implemented method of claim 1 , further comprising:

automatically modifying the set of proposals in real-time based on the set of task performance messages between the representative and the assistant representative.

4. The computer-implemented method of claim 1 , further comprising:

automatically delegating the one or more proposal tasks according to one or more parameters associated with the one or more proposal tasks and to characteristics of the representative, the assistant representative, and one or more other representatives.

5. The computer-implemented method of claim 1 , wherein the selection is automatically identified in real-time using a Natural Language Processing (NLP) algorithm, and wherein the NLP algorithm processes the set of proposal messages in real-time as the set of proposal messages is received.

6. The computer-implemented method of claim 1 , further comprising:

performing a sentiment analysis to automatically determine a sentiment corresponding to the set of proposals, wherein the sentiment is used to identify the selection of one or more proposals from the set of proposals.

7. The computer-implemented method of claim 1 , wherein the representative is an automated bot, and wherein the automated bot automatically communicates with the member according to the member profile.

8. A system, comprising:

one or more processors; and

memory storing thereon instructions that, as a result of being executed by the one or more processors, cause the system to:

receive in real-time a set of proposal messages between a member and a representative as the set of proposal messages is being exchanged, wherein the set of proposal messages corresponds to a set of proposals associated with a task, and wherein the set of proposals are generated based on the task and a member profile associated with the member;

automatically identify in real-time a selection of one or more proposals from the set of proposals, wherein the selection is automatically identified based on a real-time analysis of the set of proposal messages;

automatically generate one or more proposal tasks performable to complete the task, wherein the one or more proposal tasks are automatically generated based on the selection;

process in real-time a set of task performance messages exchanged between the representative and an assistant representative, wherein the set of task performance messages corresponds to performance of the one or more proposal tasks as the set of task performance messages is being exchanged;

automatically perform one or more operations associated with the performance of the one or more proposal tasks, wherein the one or more operations are automatically performed according to the set of task performance messages;

monitor the performance of the one or more proposal tasks and the one or more operations, wherein the performance of the one or more proposal tasks and the one or more operations are monitored as the set of proposal messages and the set of task performance messages are being exchanged between the representative and the assistant representative; and

update the member profile in real-time based on the task, the selection, and feedback corresponding to the set of proposal messages and the set of task performance messages.

9. The system of claim 8 , wherein the selection is detected based on one or more anchor terms automatically identified in the set of proposal messages.

10. The system of claim 8 , wherein the instructions further cause the system to:

automatically modify the set of proposals in real-time based on the set of task performance messages between the representative and the assistant representative.

11. The system of claim 8 , wherein the instructions further cause the system to:

automatically delegate the one or more proposal tasks according to one or more parameters associated with the one or more proposal tasks and to characteristics of the representative, the assistant representative, and one or more other representatives.

12. The system of claim 8 , wherein the selection is automatically identified in real-time using a Natural Language Processing (NLP) algorithm, and wherein the NLP algorithm processes the set of proposal messages in real-time as the set of proposal messages is received.

13. The system of claim 8 , wherein the instructions further cause the system to:

perform a sentiment analysis to automatically determine a sentiment corresponding to the set of proposals, wherein the sentiment is used to identify the selection of one or more proposals from the set of proposals.

14. The system of claim 8 , wherein the representative is an automated bot, and wherein the automated bot automatically communicates with the member according to the member profile.

15. A non-transitory, computer-readable storage medium storing thereon executable instructions that, as a result of being executed by a computer system, cause the computer system to:

receive in real-time a set of proposal messages between a member and a representative as the set of proposal messages is being exchanged, wherein the set of proposal messages corresponds to a set of proposals associated with a task, and wherein the set of proposals are generated based on the task and a member profile associated with the member;

automatically identify in real-time a selection of one or more proposals from the set of proposals, wherein the selection is automatically identified based on a real-time analysis of the set of proposal messages;

automatically generate one or more proposal tasks performable to complete the task, wherein the one or more proposal tasks are automatically generated based on the selection;

process in real-time a set of task performance messages exchanged between the representative and an assistant representative, wherein the set of task performance messages corresponds to performance of the one or more proposal tasks as the set of task performance messages is being exchanged;

automatically perform one or more operations associated with the performance of the one or more proposal tasks, wherein the one or more operations are automatically performed according to the set of task performance messages;

monitor the performance of the one or more proposal tasks and the one or more operations, wherein the performance of the one or more proposal tasks and the one or more operations are monitored as the set of proposal messages and the set of task performance messages are being exchanged between the representative and the assistant representative; and

update the member profile in real-time based on the task, the selection, and feedback corresponding to the set of proposal messages and the set of task performance messages.

16. The non-transitory, computer-readable storage medium of claim 15 , wherein the selection is detected based on one or more anchor terms automatically identified in the set of proposal messages.

17. The non-transitory, computer-readable storage medium of claim 15 , wherein the executable instructions further cause the computer system to:

automatically modify the set of proposals in real-time based on the set of task performance messages between the representative and the assistant representative.

18. The non-transitory, computer-readable storage medium of claim 15 , wherein the executable instructions further cause the computer system to:

automatically delegate the one or more proposal tasks according to one or more parameters associated with the one or more proposal tasks and to characteristics of the representative, the assistant representative, and one or more other representatives.

19. The non-transitory, computer-readable storage medium of claim 15 , wherein the selection is automatically identified in real-time using a Natural Language Processing (NLP) algorithm, and wherein the NLP algorithm processes the set of proposal messages in real-time as the set of proposal messages is received.

20. The non-transitory, computer-readable storage medium of claim 15 , wherein the executable instructions further cause the computer system to:

perform a sentiment analysis to automatically determine a sentiment corresponding to the set of proposals, wherein the sentiment is used to identify the selection of one or more proposals from the set of proposals.

21. The non-transitory, computer-readable storage medium of claim 15 , wherein the representative is an automated bot, and wherein the automated bot automatically communicates with the member according to the member profile.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 13, 2025
From: MATSUOKA, YOKY; CIVELEKOGLU, DEFNE; VAN DER LINDEN, GWENDOLYN W.; VISWANATHAN, NITIN; WARNER, DAVID L.
To: YO LABS LLC
Reel/Frame 070213/0994 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 13, 2025
From: LIU, LINGYUN; DEMING, BENJAMIN; PATERSON, SEAN
To: YOHANA LLC
Reel/Frame 070214/0252 →
CHANGE OF NAME Recorded Feb 13, 2025
From: YOHANA LLC
To: PANASONIC WELL LLC
Reel/Frame 070232/0122 →
CHANGE OF NAME Recorded Feb 13, 2025
From: YO LABS LLC
To: YOHANA LLC
Reel/Frame 070630/0295 →