Machine Learning Algorithm Generated Sales Prediction for Inventory Optimization in Cross-border E-Commerce

With the continuous expansion of cross-border e-commerce enterprises' cross-border business activities and the rising operating costs of overseas warehousing, the cross-border e-commerce enterprise resource management system (ERP) is responsible for the management, coordination and optimization of global supply chain warehousing. On the cross-border e-commerce ERP platform, the product sales forecast and inventory optimization strategy realized by machine learning algorithm can effectively summarize the key factors, use the sales record big data, so that the forecast value, the expectations fit the actual value of the basic trend. The results show that the machine learning algorithm has good prediction effect and improved the best inventory equilibrium efficiency.