Intelligent customer service auxiliary management system and use method

Abstract

According to the intelligent customer service auxiliary management system and the using method, the system combines natural language processing and artificial intelligence technologies, and automatic and intelligent customer service is achieved. User questions are quickly responded through the intelligent question and answer module, user demands are deeply mined through the user behavior analysis module, customer service resource configuration is optimized through the customer service management module, and system performance is continuously improved through the feedback learning module. The invention aims to improve the customer service efficiency, optimize the user experience and reduce the enterprise operation cost.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to an intelligent customer service auxiliary management system and a use method thereof. Background Art

[0002] With the rapid development of the Internet, traditional customer service systems can no longer meet the needs of efficient and personalized services. Therefore, there is an urgent need for an intelligent customer service auxiliary management system that combines artificial intelligence technology to improve customer service efficiency and user satisfaction.

[0003] The present invention provides an intelligent customer service auxiliary management system and a method for using the system, which aims to improve customer service efficiency and optimize user experience through artificial intelligence technology. The system includes an intelligent question-and-answer module, a user behavior analysis module, a customer service management module, and a feedback learning module. The modules work together to achieve automated and intelligent customer service. Summary of the invention

[0004] In order to overcome the defects existing in the background technology, the present invention provides an intelligent customer service auxiliary management system and a use method, including an intelligent question and answer module, a customer behavior analysis module, a customer service management module and a feedback learning module, characterized in that: the management system is composed of an intelligent question and answer module, a customer behavior analysis module, a customer service management module and a feedback learning module, and the intelligent question and answer module, the customer behavior analysis module, the customer service management module and the feedback learning module cooperate with each other to complete customer auxiliary management.

[0005] Preferably, the intelligent question-answering module is capable of receiving and understanding user questions and generating corresponding answers.

[0006] Preferably, the user behavior analysis module can analyze user behavior data and provide decision support for customer service management.

[0007] Preferably, the customer service management module can monitor the working status of customer service personnel in real time and perform intelligent scheduling.

[0008] Preferably, the feedback learning module is capable of performing self-learning and optimization of the system according to user feedback.

[0009] The preferred intelligent customer service assisted management method of the system includes the steps of receiving user questions, intelligently answering, analyzing user behavior, managing customer service status, and system self-learning and optimization.

[0010] The present invention designs an intelligent customer service auxiliary management system and a method of use. Users ask questions through the intelligent question-and-answer module, and the system understands the user's semantics and generates answers. At the same time, the user behavior analysis module collects and analyzes user behavior data to provide decision support for customer service management. The customer service management module intelligently schedules customer service personnel based on these data to ensure reasonable allocation of resources. Finally, the feedback learning module optimizes system performance based on user feedback. Through the implementation of the present invention, customer service efficiency can be significantly improved, user experience can be enhanced, and enterprise operating costs can be reduced. DETAILED DESCRIPTION

[0011] Specific embodiment 1, an intelligent customer service auxiliary management system and a use method, including an intelligent question and answer module, a customer behavior analysis module, a customer service management module and a feedback learning module, characterized in that: the management system is composed of an intelligent question and answer module, a customer behavior analysis module, a customer service management module and a feedback learning module, and the intelligent question and answer module, customer behavior analysis module, customer service management module and feedback learning module cooperate with each other to complete customer auxiliary management.

[0012] The intelligent question-and-answer module can receive and understand users' questions and generate corresponding answers. The user behavior analysis module can analyze users' behavior data and provide decision support for customer service management. The customer service management module can monitor the working status of customer service personnel in real time and perform intelligent scheduling. The feedback learning module can perform system self-learning and optimization based on user feedback. The intelligent customer service assisted management method of the system includes the steps of receiving user questions, intelligently answering, analyzing user behavior, managing customer service status and system self-learning and optimization.

[0013] The present invention designs an intelligent customer service auxiliary management system and a method of use. Users ask questions through the intelligent question-and-answer module, and the system understands the user's semantics and generates answers. At the same time, the user behavior analysis module collects and analyzes user behavior data to provide decision support for customer service management. The customer service management module intelligently schedules customer service personnel based on these data to ensure reasonable allocation of resources. Finally, the feedback learning module optimizes system performance based on user feedback. Through the implementation of the present invention, customer service efficiency can be significantly improved, user experience can be enhanced, and enterprise operating costs can be reduced.

[0014] For ordinary technicians in the relevant field, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. However, the obvious changes or modifications derived from this are still within the protection scope of the invention.

Claims

1. An intelligent customer service auxiliary management system and a method of use, comprising an intelligent question-answering module, a customer behavior analysis module, a customer service management module and a feedback learning module, characterized in that: The management system consists of an intelligent question and answer module, a customer behavior analysis module, a customer service management module and a feedback learning module. The intelligent question and answer module, the customer behavior analysis module, the customer service management module and the feedback learning module work together to complete customer-assisted management.

2. According to claim 1, an intelligent customer service auxiliary management system and a method of using the intelligent customer service auxiliary management system are characterized by: The intelligent question-answering module can receive and understand users' questions and generate corresponding answers.

3. The intelligent customer service auxiliary management system and method of use according to claim 1, characterized in that: The user behavior analysis module can analyze user behavior data and provide decision support for customer service management.

4. The intelligent customer service auxiliary management system and method of use according to claim 1, characterized in that: The customer service management module can monitor the working status of customer service personnel in real time and perform intelligent scheduling.

5. The intelligent customer service auxiliary management system and use method according to claim 1, characterized in that: The feedback learning module can perform self-learning and optimization of the system according to user feedback.

6. The intelligent customer service auxiliary management system and use method according to claim 1, characterized in that: The intelligent customer service auxiliary management method of the system includes the steps of receiving user questions, intelligently answering, analyzing user behavior, managing customer service status, and system self-learning and optimization.