Sales logistics cost model of terminal customer preference under cloud service
Wang Shanshan Ding Lin Yiu Jinyuan
In order to reduce the cost of sales and logistics of enterprises, this paper proposes a sales logistics planning model based on customer preference under cloud service. By establishing the cloud sales platform and embedding the cloud-based data mining model in the sales platform, the user's preference can be mined to provide personalized logistics service for the users. A mixed integer programming model for sales logistics planning is established, which includes the customer purchase model, the General Logistics Transportation Plan model and the Logistics Transportation planning model which distinguishes the user's preference. Using Ilog Cplex Optimization software solution, total logistics cost and shortage cost are reduced 12.8% and 17.1% respectively. The results show that the sales logistics plan based on customer preference under cloud service can effectively reduce the cost of sales and logistics of enterprises.
Sales logistics cost model of terminal customer preference under cloud service
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