Logistics Distribution Optimization System of Cross-Border e-Commerce Platform Based on Bayes-BP Algorithm

Abstract

In recent years, the development of CBE (cross-border e-commerce) has driven the development of many overseas markets. With the popularity of domestic e-commerce platforms, many companies have turned their attention to overseas markets. For example, in Europe, America and Southeast Asia, many local people With strong purchasing power, especially with the increasing international influence of China and the introduction of encouraging policies in many countries, CBE has certain prospects. Through the analysis of the development process of CBE platforms, this paper finds that logistics and distribution have played a key role in the long-term development of overseas e-commerce. The development of cross-border logistics is limited by many factors such as long transportation distance and customs participation. Therefore, it is particularly necessary to carry out research on cross-border logistics. Based on the Bayes-BP algorithm, this paper designs the logistics distribution optimization system of the CBE platform, aiming to optimize the logistics distribution path of the CBE platform and improve the efficiency of logistics distribution. The final results of the research show that, The average cost of path 3 before optimization is 21.33, after optimization it is 14.62, and the cost can be saved by 6.71. The average cost of path 4 before optimization is 25.66, and after optimization, it is 14.02, which can save 11.64. It can be seen that through the distribution Optimizing logistics distribution after system optimization can effectively reduce logistics distribution costs and increase revenue sources.