After-sales service system based on artificial intelligence and Internet

Abstract

The invention discloses an after-sales service system based on artificial intelligence and the Internet. The after-sales service system comprises a registration login module, a data acquisition module, an investigation module, a server, an order management module, a data analysis module, a display module, a storage module, a member monitoring module and an after-sales management module. Product potential table information is obtained through the data analysis module and transmitted to the display module to be displayed in real time. Operation and management personnel can conveniently grasp keypoints and reasonably make a production plan; high-value customer groups can be intelligently identified, so that operation management personnel can conveniently implement different marketing means and strategies for different customer groups, and effective help is provided for expansion and operation of enterprises; descending sort is performed on the after-sales applications according to the priority values to generate a processing priority table of the after-sales applications; and service standardization is embodied, work efficiency is improved, customer after-sales consultation experience is improved, and customer resource loss is avoided.

Description

Technical field [0001] The present invention relates to the field of e-commerce, in particular a after-sales service system based on artificial intelligence and the Internet. Background technique [0002] With the increasingly fierce market competition, after-sales service has become a very critical factor in realizing the goals of the enterprise. The degree of investment in corporate after-sales service has largely determined the rise and failure of the company. How to maintain high quality after-sales service of the company, incentive customer purchase desire, has become an increasingly sharp issue that is troubled by the company's supervisor. [0003] Publication No. CN103279871A The documentation discloses a after-sales service application method, including: Step 1: The user uses the user information to log reconfinct service application system through the client, and the system finds the transaction order from the order trading library, the user from the transaction The item...

AI Technical Summary

Problems solved by technology

[0004] However, in reality, the after-sales service system cannot conduct intelligent analysis based on the actual transaction data of the enterprise to formulate production plans, resulting in a large accumulation of products and unsalable products of the enterprise; it cannot intelligently identify high-value customer groups, and implement different methods for different customer groups. The marketing methods and strategies cannot provide effective help for the expansion and operation of the enterprise; in the existing technology, the after-sales service system mostly sorts the after-sales applications according to the time, and cannot provide different levels of after-sales service for different customer groups. standardization, improve work efficiency, lead to poor after-sales consulting experience for customers, affect the quality and reputation of after-sales service, and lead to the loss of customer resources in vain; therefore, we propose an after-sales service system based on artificial intelligence and the Internet

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