Monitoring Analysis And System Design Of Leisure Bean Dry Line Sales

As a well-known nutritious food,soybean products,with the rapid rise and rapid development of the Internet industry,keep up with the trend of "Internet ",the traditional soybean products industry sales form to e-commerce sales model.This paper takes dried bean products as an example to deeply analyze the law of network sales of dried bean products,explore the form and method of online sales of dried bean products and the current situation of sales,provide decision support for sellers,and provide consumer advice for buyers.(1)Conduct market analysis of soybean products industry as a whole.According to the analysis of the internal and external environment of soybean products industry,it is concluded that the economic environment and cultural and technological environment have a great influence on the industry.Although soybean raw materials have a significant impact on the processing links of soybean products,the integration of cultural industry and economic development leads to the transfer of the real economy in sales to the e-commerce environment.Based on the analysis of sales data and the forecast of sales trend of soybean dried products in the whole network of e-commerce,it is determined that the leisure soybean dried products become the main object of research,and 16 related data of leisure soybean dried products in 20 shops and shops of Tmall platform are selected.(2)Establish a sales index system and database,and analyze the sales data of e-commerce beans.This paper,in the form of web crawler,collects and summarizes the selected monitoring indicators to establish a database,selects SPSS statistical tools and specific functions in the Python program language according to the need,analyzes the impact of price,place of delivery,text keywords,epidemic situation and overall indicators on sales volume,and clearly displays them in the form of box line map,word cloud map,bar chart and table to find the monitoring indicators that have a significant impact on sales volume and analyze the reasons.In addition,the new crown epidemic has had a huge impact on soybean prices and sales processes Leisure bean dried online sales generally declined during the epidemic,but overall sales rebounded as roads unsealed after March.(3)Research on the optimization of text titles for commodities preprocessing the text information of the commodity title,calculating the similarity between the text by transforming the text information into a spatial vector,classifying the processed transformed text information by using K-Means clustering analysis method,optimizing the commodity title,and providing the seller with the key information of sales.(4)The on-line sales monitoring system of PC end leisure beans based on Django frame is designed.It mainly carries on the function analysis,divides the business into four modules according to the function demand: the basic information module,the data analysis module,the parameter contrast module and the monitoring function module,and carries on the visualization processing,provides the suggestion and the support for the merchant and the consumer's sale and the purchase.