RETRACTED ARTICLE: Research on sales information prediction system of e-commerce enterprises based on time series model

Sales forecasting plays an important role in guiding the sales and marketing of e-commerce enterprises, and warehousing department planning warehouse location. At the same time, sales data can better reflect future sales trends. This paper establishes a sales forecasting and analysis model for commodities with common characteristics using their historical sales data through time series model, and forecasts the sales inventory of a certain kind of products from a quantitative point of view. In order to improve the predictive reliability, this paper introduces external observable data and qualitative analysis of historical data prediction model by using hidden Markov model to predict the characteristics of hidden values, so as to further improve the reliability of prediction model.