Investigation on Risk Assessment of Cross-Border E-Commerce Supply Chain Based on BP Neural Network

Cross-border e-commerce (CBEC) has become an important trend in global trade development, and Supply Chain (SC) risk management is a crucial link in CBEC operations. This article investigated and collected various variables involved in the risk assessment of CBEC SC; Based on the obtained data, statistical analysis was conducted to screen out key variables related to SC risk and set corresponding weights; this article used the BP (Back Propagation) neural network algorithm to establish a SC risk assessment model, and improved prediction accuracy through training and testing; this article classified and controled SC risks based on the model prediction results, and continuously optimized and adjusted them. When the predicted output was 4.02, the expected output was 4. In summary, this article systematically studied the theoretical basis, operational process, and practical application of the risk assessment method for CBEC SC based on BP neural network, which provided reference for researchers and practitioners in related fields.