Research on Multidimensional Genuine Cigarette Diversion Warning Based on Data-Driven Approach
This paper discusses the method of constructing warning strategies at different levels by using a smart monopoly management application assistant,integrating data such as cigarette distribution strategy,retailer information,genuine cigarette outflow data,and order information,based on basic probability theory and Bayes'theorem.Meanwhile,based on historical data of genuine cigarette diversion,retailer information,and warning information,this paper discusses the feasibility of creating a"digital portrait"of tobacco retailers and quantifying the risk of genuine cigarette diversion by retailers through a star-rating assessment strategy.According to the comprehensive and analytical application of multi-dimensional data by the smart monopoly management application assistant,it can provide prediction and basis for the occurrence of genuine cigarette diversion,achieving the purpose of ex-ante regulation and precise investigation.
NETL
NSTL
万方数据
