Research on the influence factors and improvement path of rural e-commerce development based on neural network

Abstract

Abstract This paper uses big data evaluation models to predict market trends with the goal of promoting rural e-commerce development. A closely integrated algorithmic trading framework is constructed, and strategic evaluation indicators are proposed in traditional indicators. By analyzing the current situation and problems of online marketing of agricultural products, a series of development strategies and safeguards are formulated, and suggestions are made to establish QR code traceability and highlight personalized product development. The results show that age has a greater influence on the development of agribusiness. 65.73% of the 20-35 year olds choose to be willing to buy and do so through the Internet, which is 53.40% higher than the average, and 59.09% of the under-20 year olds choose to be unclear but willing to know, which is 28.64% higher than the average. The data studied and analyzed in this paper are useful for predicting the sales trend of the rural e-commerce market and promoting the development of rural e-commerce development.