Big Data-driven FMCG Terminal Visits"Cloud-side"Based Decision-making and Optimization
With the rapid growth of consumer market of FMCG(Fast moving consumer goods),companys'terminal visit cost have increased significantly.At the same time,the terminal visit scene is faced with the problems of obtaining terminal information in real time,making dynamic decisions and responding to customer demand dynamically.The"dynamic cloud-side linkage information architecture"and"dynamic cloud-side linkage mechanism"for FMCG terminal visit problem is proposed.At the same time,the deep reinforcement learning algorithm is used to optimize the system decision.The simulation results show that it can effectively reduce the traveling mileage of terminal visitors.For the FMCG terminal visit scenario,it can effectively improve the terminal service level of enterprises,maintain customer relationship,so as to achieve the purpose of increasing sales volume and order conversion rate.
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