Research on the classification strategy of new energy auto parts based on big data

With the proportion of new energy vehicle sales exceeding 50%, effective parts management is crucial for aftersales. This study leverages extensive data on vehicle parts and pricing, integrating assembly classification and failure rates. Utilizing model building and correlation analysis, it explores an optimized classification management strategy for these parts. The research offers a practical approach to managing parts for new energy vehicles and valuable market insights for industry stakeholders.