Sales Analysis of Network Marketing Products Based on Neural Network Data Mining Algorithm

摘要

To optimize the corporate decision scheme for network marketing product sales and improve the accuracy of the sales forecast, we use the neural network data mining method to analyze the sales forecast for network marketing products. Firstly, the basic process of online marketing product sales forecasting and the existing forecasting algorithms are summarized. Subsequently, a sales forecast framework for network marketing products based on neural network data mining is proposed according to the decision tree, Bayesian network algorithm mathematical models, and association rules. Finally, cases are simulated to forecast and analyze the sales and profit of the products in Q1. The experiment shows that the forecast data are basically consistent with the actual situation, with good forecast results and certain research value.