Demand Forecasting for Rural E-Commerce Logistics: A Gray Prediction Model Based on Weakening Buffer Operator

With the advancement of Internet technology and widespread use mobile smartphones, urban e-commerce is becoming increasingly saturated. Rural ushered in a new era development. How to improve rural logistics carrying capacity keep up with development better serve has become hot topic. The purpose this study predict demand context e-commerce. We develop an indicator system for forecasting Guangdong Province. GM (1,1) gray model weakening buffer operator was used forecast According results, prediction good matching precision. It also found that Province will generally rise short medium term. Based on findings study, government should stimulate consumer goods, encourage technological innovation, Internet-rural mode, meet supply requirements based situation each region.