Research on Management and Improvement Strategies for Automobile After-sales Service Quality
With the development of society,the automobile industry in China has become increasingly robust.The quality of automobile after-sales service has increasingly become one of the important factors considered by consumers in making car purchase decisions.Leveraging advanced information technology can effectively enhance the quality of after-sales service and promote innovative development of after-sales service modes.This paper focuses on the application analysis of big data in the field of automobile after-sales service,aiming to deeply analyze various problems existing in current automobile after-sales service from the perspective of the value of big data technology.On this basis,this paper explores and proposes solutions to after-sales problems,and studies and elaborates on strategic measures that can effectively improve the quality of after-sales service.It is hoped that the research results of this paper can provide certain reference for the management of automobile after-sales service quality and the formulation of optimization strategies.
NETL
NSTL
万方数据
