Python-based Agricultural And Sideline Product Sales Data Analysis Application

In addition to food cash crops,poultry products,dried and fresh fruits,dried vegetables and condiments,medicinal materials,soil by-products,aquatic products and other edible foods,bamboo and industrial oils,lacquer,silkworm cocoon,silk are also included in people's lives.Among the agricultural and sideline products,there are many commodities that are perishable products,which have strict shelf life restrictions and are difficult to preserve.These products are in great demand in people's daily life,so the sales market of agricultural and sideline products need to make accurate forecasts so that relevant practitioners can make reasonable purchase decisions.Nowadays,the sales of agricultural and sideline products in China are mainly carried out through wholesale markets and retailers,which generate a large amount of historical sales data during the sales process.How to extract useful information for future sales of merchants from these data,and predict the trend of changes in future sales of merchants,becoming more and more important in the sales of agricultural and sideline products.Although there are many analytical and mining work on related data,the accuracy of prediction is generally not high,and it is difficult to provide effective and accurate prediction results for merchants to use.In this design,temperature,weather,holidays,promotional activities and other factors related to sales volume are regarded as independent variables,and a multiple regression model is established by combining SVR algorithm to predict short-term sales volume,and the matching degree with actual sales volume is about 95 percent.Combined with advanced Web development technology,establish a complete sales management and forecasting platform that integrates functions such as sales data query,sales data management,personnel communication and short-term sales forecast.Through the historical data in the process of agricultural and sideline products sales regression prediction,the merchants for the future of commodity sales have an accurate grasp,convenient user purchases of goods to adjust control,let users have more explicit quantitative index,so as to bring benefits to businesses,reduce the loss of goods,make business sales process more intelligent.