Artificial Intelligence Based Customer Service and Social Media Method

• US 20180211259A1
• Filed: 01/23/2017
• Published: 07/26/2018
• Est. Priority Date: 01/23/2017
• Status: Abandoned Application

• Current Assignee: Quyen Trong Vu, Rudy Alberto Rios
• Original Assignee: Quyen Trong Vu, Rudy Alberto Rios
• Inventors: Vu, Quyen Trong, Rios, Rudy Alberto
• Application Number:
  US15/413,189
• Publication Number:
  US 20180211259A1
• Time in Patent Office: Days
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 3/006 based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/016 After-sales
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A customer service method includes geolocating devices and users verifying the geolocation of the device. The user selects a search proximity based on the geolocation of the devices, to identify businesses within the search proximity. A list of the businesses is presented, which are selected by the user. The devices communicate with a first network within the business network, which presents chat rooms. Chat rooms are created by the business and by the consumers. Each chat room communicates with a second network, wherein the second network is adaptive based on user input and is able to generate a response based on user input. At least one user is a manager of a business who is able to audit the second network response. A main server, main database, internal artificial intelligence bot, and external artificial intelligence bot are in communication with the devices.

Claims

1. ) A customer service method comprising the steps of:

a) geolocating one or more devices;

b) verifying the geolocation of the one or more devices by a user;

c) selecting a search proximity based on the geolocation of the one or more devices, wherein one or more businesses are identified by the one or more devices based on the search proximity;

d) presenting a list of the one or more businesses;

e) the user selecting at least one of the one or more businesses;

f) the one or more devices communicating with a first network within the selected business; and

g) the first network presenting one or more chat rooms displayed on the one or more devices, wherein the user engages the one or more chat rooms, wherein the one or more chat rooms communicates information to a second network, wherein the second network is adaptive, wherein the second network adapts based on user input, wherein the second network responds to the engagement from the user.

2. ) The method of claim 1, wherein at least one user is a manager, wherein the manager is auditing the second network response.

3. ) The method of claim 1, wherein the second network is searching a product inventory, wherein one or more results of the search are displayed on the one or more devices.

4. ) The method of claim 1, wherein the second network is searching a business information list, and displaying one or more results of the search on the one or more devices.

5. ) The method of claim 1, wherein the search proximity is adjustable by the one or more devices.

6. ) The method of claim 5, wherein the search proximity has a maximum radius of 25 miles relative to the one or more devices.

7. ) The method of claim 1 comprising:

a) a main server, wherein the main server is in communication with the one or more devices, wherein the main server is in communication with one or more main databases, and wherein the main server is in communication with the first and second network;

b) a main database, wherein the main database is in communication with the main server;

c) an internal artificial intelligence bot, wherein the internal artificial intelligence bot is in communication with a bot database, wherein the internal artificial intelligence bot is in communication with the main server, wherein the internal artificial intelligence bot is in communication with the one or more devices; and

d) an external artificial intelligence bot, wherein the external artificial intelligence bot is in communication with the internal artificial intelligence bot.

8. ) The method of claim 1, wherein the internal artificial intelligence bot is communicating with the device using an Extensible Messaging and Presence Protocol.

9. ) The method of claim 1, wherein the one or more chat rooms are created by a business.

10. ) The method of claim 1, wherein the one or more chat rooms are created by a consumer.

11. ) The method of claim 1, wherein the internal artificial intelligence bot uses Natural Language Processing for communication between the one or more devices.