Customer Purchase Behavior Prediction and Analysis based on CRM Data Analysis Technology

Since e-commerce began to be widely used in many industries in China, the traditional methods of customers' purchasing behavior prediction in enterprises cannot meet the current intelligent forecasting with different network characteristics. Therefore, the CRM customer relationship management system based on artificial neural network algorithm is gradually applied to the network business of many enterprises in our country. This paper studies the application of artificial neural network algorithm in the data analysis of CRM system, and has proposed the data analysis technology based on CRM system. This technology can be used to predict and analyze the customer's purchasing behavior through the management of customer's relevant information. Finally, the experimental results show that the CRM system based on artificial neural network algorithm can efficiently predict the customers with purchasing demand through intelligent data analysis technology. Intelligent multiple prediction and analysis are carried out to achieve a new breakthrough in the technology of customers' purchasing behavior prediction in China.