IP Library Granted Patent US 12,248,993
Granted Patent B2
US 12,248,993 · App. 18/234,464 · Granted Mar 11, 2025

Chatbot for reviewing social media

Inventors: Joseph Robert Brannan (Bloomington, IL); Vicki King (Bloomington, IL); Brian Mark Fields (Phoenix, AZ); Nathan L. Tofte (Downs, IL)
Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
G06Q40/08G06F40/30G06N3/006G06Q50/01H04L41/16H04L51/02G06Q30/016
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Quick Facts
Patent No.
US 12,248,993
App. No.
18/234,464
Granted
Mar 11, 2025
Kind
B2
Abstract

The following relates generally to artificial intelligence (AI)-based responses to social media posts. In some embodiments, one or more processors may be configured to: (1) receive, via a chatbot, a social media post; (2) categorize, via the chatbot, the social media post; (3) determine, via the chatbot, based upon the categorization, an entity to contact; (4) build, via the chatbot, based upon the determined entity to contact, a response to the social media post; and/or (5) send, via the chatbot, the response to the entity.

Claims (35)

1. A computer-implemented method for responding to a social media post, comprising:

receiving, via a chatbot of one or more processors, a social media post;

categorizing, via the chatbot, the social media post, wherein the categorizing comprises determining a category of the social media post, the category comprising: (i) customer praise of a company; or (ii) customer praise of a product and/or service;

determining, via the chatbot, based upon the categorization, an entity to contact, the entity to contact comprises a user who posted the social media post;

building, via the chatbot, based upon the determined entity to contact, a response to the social media post, the response including (a) a request that the user post a review of the company, product, and/or service, and/or (b) a recommendation to purchase an additional product and/or service; and

sending, via the chatbot, the response to the entity.

2. The computer-implemented method of claim 1 , wherein the determining the entity to contact further comprises determining a company referenced in the social media post.

3. The computer-implemented method of claim 1 , further comprising training the chatbot with a historical dataset comprising: (i) historical social media posts, and/or (ii) historical responses to the historical social media posts.

4. The computer-implemented method of claim 1 , wherein the chatbot includes: an artificial intelligence (AI) chatbot, a machine learning (ML) chatbot, a generative AI chatbot, a deep learning algorithm, a generative pre-trained transformer (GPT), and/or long-short-term-memory (LSTM).

5. The computer-implemented method of claim 1 , wherein the building the response includes building the response to include the recommendation to purchase the additional product and/or service including a homeowners insurance policy, a renters insurance policy, an auto insurance policy, a life insurance policy and/or a disability insurance policy.

6. The computer-implemented method of claim 5 wherein the chatbot is trained based upon:

a historical dataset comprising: (i) historical social media posts, and/or (ii) historical responses to the historical social media posts; and

historical insurance customer profiles associated with the historical social media posts, the historical insurance customer profiles including information of historical homeowners insurance policies, historical renters insurance policies, historical auto insurance policies, historical life insurance policies, and/or historical disability insurance policies of historical insurance customers.

7. A computer system for responding to a social media post, the computer system comprising one or more processors configured to:

receive, via a chatbot, a social media post;

categorize, via the chatbot, the social media post, wherein the categorizing comprises: determining a category of the social media post, the category comprising: (i) customer praise of a company; or (ii) customer praise of a product and/or service;

determine, via the chatbot, based upon the categorization, an entity to contact, the entity to contact comprises a user who posted the social media post;

build, via the chatbot, based upon the determined entity to contact, a response to the social media post, the response including (a) a request that the user post a review of the company, product, and/or service, and/or (b) a recommendation to purchase an additional product and/or service; and

send, via the chatbot, the response to the entity.

8. The computer system of claim 7 , wherein the computer system further comprises a display device, and wherein the one or more processors are further configured to display the response on the display device.

9. The computer system of claim 7 , wherein the chatbot is trained with a historical dataset comprising: (i) historical social media posts, and/or (ii) historical responses to the historical social media posts.

10. The computer system of claim 7 , wherein the chatbot includes: an artificial intelligence (AI) chatbot, a machine learning (ML) chatbot, a generative AI chatbot, a deep learning algorithm, a generative pre-trained transformer (GPT), and/or long-short-term-memory (LSTM).

11. A computer-implemented method for responding to a social media post, comprising:

receiving, via a chatbot, a social media post;

categorizing, via the chatbot, the social media post, wherein the categorizing comprises determining a category of the social media post, the category comprising: (i) customer praise of a company; or (ii) customer praise of a product and/or service;

determining, via the chatbot, based upon the categorization, an entity to contact, the entity to contact comprises an employee;

building, via the chatbot, based upon the determined entity to contact, a response to the social media post, the response including a list of one or more products and/or services for the employee to suggest to a user post the social media post; and

sending, via the chatbot, the response to the entity.

12. The computer-implemented method of claim 11 , wherein the determining the entity to contact further comprises determining the company referenced in the social media post.

13. The computer-implemented method of claim 11 , further comprising training the chatbot with a historical dataset comprising: (i) historical social media posts, and/or (ii) historical responses to the historical social media posts.

14. The computer-implemented method of claim 11 , wherein the chatbot includes: an artificial intelligence (AI) chatbot, a machine learning (ML) chatbot, a generative AI chatbot, a deep learning algorithm, a generative pre-trained transformer (GPT), and/or long-short-term-memory (LSTM).

15. The computer-implemented method of claim 11 , wherein the building the response includes building the response to include a recommendation to purchase a product including a homeowners insurance policy, a renters insurance policy, an auto insurance policy, a life insurance policy and/or a disability insurance policy.

16. The computer-implemented method of claim 15 , wherein the chatbot is trained based upon:

a historical dataset comprising: (i) historical social media posts, and/or (ii) historical responses to the historical social media posts; and

historical insurance customer profiles associated with the historical social media posts, the historical insurance customer profiles including information of historical homeowners insurance policies, historical renters insurance policies, historical auto insurance policies, historical life insurance policies, and/or historical disability insurance policies of historical insurance customers.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 24, 2023
From: BRANNAN, JOSEPH ROBERT; KING, VICKI; FIELDS, BRIAN MARK; TOFTE, NATHAN L.
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 064696/0454 →
Continuity (3)
Provisional Application 63525234 · Jul 6, 2023
Provisional Application 63471324 · Jun 6, 2023
Related Publication 20240414105A1 · Dec 12, 2024
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