Research on Automobile Aftermarket Parts Pricing Model Based on Support Vector Machine

In this study, a pricing model based on support vector machine is proposed to solve the problem of auto aftermarket parts pricing. By collecting and analyzing multi-source heterogeneous data, a "1+4+8" pricing index system was constructed, which includes parts cost, market demand and supply, brand and quality, material and performance. Support vector machine (SVM) is used to establish the pricing model of automobile aftermarket parts. The experimental results show that the pricing model based on support vector machine can effectively improve the pricing accuracy and provide data support for enterprises to formulate reasonable pricing strategies. This study provides a new idea and method for the pricing of automotive aftermarket parts, which is of great significance to enhance the competitiveness of enterprises.