Research on Cross-Border E-Commerce Third-Party Logistics Model Based on Machine Learning Algorithm

Abstract

In people's life, more and more consumers can use the Internet to collect foreign products and services and buy goods abroad. Whether the goods arrive on time, arrive safely, whether the packaging is appropriate and whether the quality is guaranteed is a very important factor for consumers to consider. As a basic carrier, logistics must be completed by offline distribution. As a brand-new logistics distribution mode under the network environment, the third-party logistics mode has been promoted and valued in recent years, the root of which lies in the important value of saving logistics costs and ensuring logistics distribution benefits. Combined with machine learning algorithm, this paper analyzes the present situation and problems of logistics in cross-border electronic commerce, discusses the main operation modes of logistics in cross-border electronic commerce at present, and puts forward corresponding suggestions for the problems in operation modes.