Design And Implementation Of Fresh Logistics Distribution System Based On Moblie Internet

Against the backdrop of "internet plus" cold chain logistics industry,how to deliver fresh product to customers quickly,low-cost and satisfactorily is a critical problem to be solved.It needs to transfer traditional cold chain logistics industry to online by mobile internet,which aims to establish a cloud service platform that includes online retailers and offline logistics service providers.The platform can be used to realize electronic process of data and service,through data mining technology,the problems what exist in the progress of cold chain logistics distribution can be found out.It helps to solve the problem from technical and management level.The fresh logistics distribution system is studied in this paper,based on comparative analysis of the existing merits and drawbacks of cold chain logistics distribution mode,the problems exist in current cold chain logistics distribution process are analyzed.Text mining technology is used to collect and analyze the reviews of fresh product on e-commerce sites,and the main factors which affecting customer satisfaction in the process of logistics distribution are obtained.On this basis,the fresh logistics distribution path optimization model is established,and an improved Floyd-hybrid algorithm is used to solve the model.Based on the model,this paper analyzes and designs the fresh cold chain logistics distribution system according to product distribution process.In order to allocate fresh orders quickly and reasonably,the order allocation and distribution algorithms are embedded in the system development phase.The system has been tested in a fresh delivery enterprise,and gets a good feedback.In the trial process,both logistics efficiency and customer satisfaction of the enterprise has been improved obviously.It has certain theoretical significance and practical application value for the enterprise to upgrade logistics distribution system.