Research on e-commerce logistics warehousing mode under the new retail

Abstract

Driven by multiple factors such as information technology, consumption upgrade, and competitive situation, China's retail industry is ushering in a new transformation opportunity, namely "new retail" with deep integration of "Online+Offline+Logistics". In the new retail context, the traditional e-commerce logistics industry is already insufficient to meet the growing consumer demand and logistics service standards of consumers. The logistics industry will face new challenges and tests. Many companies headed by JingDong (JD) have started the practice of "new retail". Therefore, this paper will use JD warehousing model as an example to study the warehousing construction model of JD self-built logistics model from the aspects of market growth rate and the number of active users. Through SPSS modeling, F-test and Logstic regression were performed to determine the problems in JD Mall's logistics model, and using Matlab modeling software, based on the more general fuzzy comprehensive evaluation method for enterprise applications, horizontally comparative study of JD. In this paper, regression analysis and fuzzy comprehensive evaluation methods are used to propose an optimization program to explore the transformation of e-commerce logistics model under the new retail background.