An intelligent customer service system based on Internet of Vehicles

Abstract

The invention discloses an intelligent customer service system based on the Internet of Vehicles. The intelligent customer service system comprises an AI instant messaging module, a machine learning module, an intelligent work order, a mass knowledge base, an intelligent customer application module and a background management module, The AI instant messaging module comprises a self-service moduleand a message processing module; And the message processing module adopts a natural semantic processing technology, performs machine learning in combination with a mass knowledge base, quickly classifies problems fed back by the vehicle owner, compares the problems with the mass knowledge base, and gives an optimal matching solution. The invention aims to provide an AI assistant product of an automobile and provide revolutionary and intelligent difficult solutions, vehicle diagnosis and intelligent travel services for an automobile owner. An original passive telephone feedback mode is converted into an active care and timely and diverse internet feedback mode. By using the user and vehicle data obtained by the vehicle-mounted terminal application of the invention, the intelligent customerservice system can quickly provide accurate service for a vehicle owner.

Description

technical field [0001] The invention relates to the technical field of the Internet of Vehicles, in particular to an intelligent customer service system based on the Internet of Vehicles. Background technique [0002] The traditional telephone service customer service system requires a large number of business personnel who are familiar with relevant field knowledge, the labor cost is high, the number of service objects cannot be increased, and it is not convenient to track customers or conduct statistical analysis on business data, resulting in customer loss. The knowledge base formed for customer problems depends on the manual update of the operation and maintenance personnel. The update workload is heavy, and the user needs to actively report the information. The customer service personnel cannot automatically obtain the target device information. Contents of the invention [0003] Aiming at the problems existing in the prior art, the present invention provides an intel...

AI Technical Summary

Problems solved by technology

[0002] The traditional telephone service customer service system requires a large number of business personnel familiar with relevant field knowledge, the labor cost is high, the number of service objects cannot be increased, and it is not convenient to track customers or conduct statistical analysis on business data, resulting in customer loss

The knowledge base formed for customer problems depends on the manual update of the operation and maintenance personnel. The update workload is heavy, and the user needs to actively report the information. The customer service personnel cannot automatically obtain the target device information

Images