The Research Of Online Shopping Prediction System And Application Based On Gray Theory

In order to improve the level of decision-making and management, forecast is given tograsp the dynamic of economic development or future changes in the market, which mayreduce the uncertainty about the future and the risk of decisions that may be encountered, sothat decisions can be successfully achieved the target. Online shopping forecasts can providethe business for scientific data as a reference, and help businesses to grasp the currentsituation and development trend of the development of China’s online shopping market toactively prepare all aspects to improve their economic. This article will use the gray systemtheory and methods for online shopping industry market analysis and forecasting, Grasp thelaws of market supply and demand changes in online shopping and provide scientific basisand reference for business decisions.In this paper, we use qualitative and quantitative research methods to analysis the historyand development of the current development of China’s online shopping, to understand thecharacteristics of online shopping and the problems existing in the development; moreover,we use gray system theory and methods to explore the predictive model, forecasting methodsand trends of online shopping; Based on gray system theory, China’s online shoppingpredictive systems has been analyzed, designed and developed; The online shoppingforecasting system based on gray theory for our countries’ online shopping will providerelated departments with scientific basis and reference.