基于大数据的电商退货物流控制研究

Research on Logistics Control of the Return of Goods in Electronic Commerce Based on Big Data

我国电子商务发展迅速,目前已进入快速扩张和密集创新的新阶段,日益成为拉动我国消费需求、促进产业升级、发展现代化服务业的重要引擎。然而,在电子商务快速发展的过程中,也日益凸显出一些问题,其中,电商退货物流一直是一个持续增长的问题。随着网购的不断增加和客户要求的提高,退货物流的产生越来越多,从根本上控制电商退货物流的产生显得很有必要。文中在大数据时代的整体背景下,从分析退货物流成因的角度,对大数据应用于电商退货物流控制进行流程设计。

With the rapid development of e-commerce in China,it has entered a new phase of rapid expansion and intensive innovation. And it has become an important engine for stimulating consumption demand,promoting industrial upgrading and developing modern service industry in china. However,in the process of rapid development of e-commerce,more and more problems are highlighted,of which the return logistics in e-commerce has been a continuous growth problem. Along with the continuous increase of online shopping and the increasing demand of customers,the logistics of returned goods has become more and more. Therefore,it is necessary to fundamentally control the generation of return logistics in e-commerce. In the background of big data era,from the angle of analyzing the causes of returned logistics,this paper designs the process of applying big data to the return logistics control in e-commerce.