Design And Implementation Of A New Retail Platform For Agricultural Products Based On User Portrait Technology

With the rapid growth of urban and rural residents' income,the food consumption structure and people's demand for life quality have been gradually upgraded,and the amount of agricultural products consumption in China has been increasing year by year.Consequently,various fresh fruit and vegetable distribution platforms that emerge at the right moment have also been well developed,and users can receive fresh organic vegetables and fruits without leaving home.In recent years,people's consumer demand for high-quality agricultural products has gradually increased,and the platforms have gradually been unable to fully meet the needs of users.At the same time,restricted by sales channels,agricultural products have not fully realized their due value,and rural economic growth has always been weak and weak.Nowadays,driven by multiple factors such as information technology,consumption upgrade and competitive situation,intelligent devices are fully popularized and user portrait technology is widely used.China's retail industry is ushering in a new transformation opportunity,namely,"new retail" with the deep integration of "online + offline + logistics".Based on the above background,this platform is designed to promote the sales of agricultural products by adopting the "new retail" dual channels with the deep integration of "online + offline + logistics".By building a new agricultural products retail platform based on user portrait technology,more sensitive and active precise push can be achieved,which can effectively promote online sales.Make fresh new retail more have long-term vitality.The emergence of such platforms,to some extent,promoted the enthusiasm of agricultural production,stimulated the growth of rural economy,and enhanced the happiness of urban and rural people.At the same time,through data collection and analysis,more can reverse management inventory,to achieve "zero inventory".This platform by collecting user data,using the algorithm of user portrait(characteristics)engineering,machine learning,neural network,to predict and analyze the data,in order to achieve more accurate and more sensitive goods delivery,to recommend system on the basis of the data generated in reverse organization of production and logistics,improve logistics of fresh from the source problem.Meanwhile,a more accurate user portrait algorithm and a more sensitive recommendation system will further improve people's shopping experience and promote the sales of malls.Through the system test,it is confirmed that the new agricultural products retail platform based on user portrait technology can better meet the sales needs of agricultural products e-commerce.After the overall platform is put into use,it performs well and is recommended sensitively.The user portrait label system has been established and updated accurately,which greatly promotes the sales of new agricultural products retail platform.Provide reference and ideas for other e-commerce platform construction and agricultural product sales of enterprises.