Construction of Automobile Consumer Evaluation Model Based on Data Mining Algorithm under the Background of Digital Transformation

The emergence of the new economic model, the continuous development and application of high technology, and its penetration into the consumption field have led to many new changes in consumer behavior. Mastering the changing trend of consumer behavior plays an important role in developing production, invigorating circulation and guiding consumption. The automobile distribution industry has accumulated a lot of data, including industry information, customer information and so on. These data are important references for the market operation of automobile dealers. Based on the background of digital transformation, this article constructs a prediction model of automobile consumers' purchasing behavior based on data mining algorithm. From the test results, it can be seen that this algorithm is more accurate in predicting automobile consumers' consumption tendency, which is 20.11% higher than the traditional ID3 algorithm. The research method of this article is applied to the database of automobile distribution enterprises, so that dealers can make more accurate quantitative analysis and scientific prediction, which is helpful to improve their market competitiveness.