ERP-based artificial intelligence car maintenance recommendation method, system and storage medium

Abstract

The invention discloses an ERP-based artificial intelligence car maintenance recommendation method, system and storage medium, and relates to the technical field of data management, including receiving a vehicle maintenance request by an auto repair ERP management platform, judging the maintenance type, and respectively marking the second type of maintenance and the first type of maintenance; Output the recommendation list according to the maintenance type, and sort the recommendation list; receive the selected order, issue the order containing the maintenance information, receive the order confirmation information, and if the auto repair factory confirms the order within the preset time, forward the auto repair factory information, otherwise output the recommendation list again until the maintenance request ends or is accepted by the auto repair shop. The present invention aims to solve the problem that it is difficult for car drivers to obtain high-quality auto repair services, the car repair data cannot be shared and utilized, the degree of informatization and digitization is low, the accessibility of high-quality car repair services is poor, and the repair technology and experience cannot be summarized and modeled Based on maintenance data and other issues, a car paint maintenance recommendation model is established to realize cloud storage and sharing of data.

Description

technical field [0001] The invention relates to the technical field of data management, in particular to an ERP-based artificial intelligence car maintenance recommendation method, system and storage medium. Background technique [0002] The economy of the domestic auto market is growing rapidly, and almost every household has a car. At the same time, services such as car maintenance and repair have also been derived. The auto repair industry has become a new focus of development. With the growth of my country's automobile consumption, the number of automobiles and the automobile aftermarket are increasing. Difficulty in maintaining a car is also a problem faced by many car owners. Traditional auto repair factories have extensive management and lack of effective management tools. It is difficult to meet customers' demands for high-quality maintenance services. In addition, there is a lack of reference standards for the quality and price of auto repair services. Information as...

AI Technical Summary

Problems solved by technology

[0004] In view of the fact that it is difficult for drivers to obtain high-quality auto repair services in existing car repair and car paint repair, the car repair data of auto repair factories cannot be shared and utilized, the degree of informatization and digitization is low, the accessibility of high-quality car repair services is poor, and it is included in large The maintenance technology and experience in the data cannot be summarized and modeled and other technical problems. The ERP-based artificial intelligence car maintenance recommendation method, system and storage medium provided by the present invention can effectively establish a link between the driver and the auto repair shop. , efficiently allocate maintenance requests, recommend excellent maintenance service providers for drivers, and use maintenance data to build car paint maintenance recommendation models, and use the auto repair ERP management platform to realize cloud storage and sharing of data

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