Research on the Path of Reducing Costs and Improving Efficiency in Cross-Border E-Commerce Supply Chains Driven by AI

在经济全球化与数字技术迅猛发展的背景下，跨境电商凭借互联网打破地域限制，实现商品与服务在全球范围内的流通，成为推动国际贸易增长的重要力量。但随着业务规模的不断扩张，跨境电商供应链暴露出一系列问题，严重制约了行业的进一步发展。本文聚焦于跨境电商供应链所存在的问题，深入探讨AI驱动跨境电商供应链降本增效的有效路径。然而，在AI技术的运用中面临数据安全、算法偏差、伦理问题等潜在风险，同时在技术融合创新、绿色供应链转型、全球化与本地化策略平衡等方面，仍存在诸多亟待攻克的难题。本研究为跨境电商企业借助AI技术优化供应链提供了实践指导，对推动跨境电商行业实现可持续发展具有重要意义。Against the backdrop of economic globalization and the rapid development of digital technology, cross-border e-commerce has broken through geographical limitations through the Internet, enabling the global circulation of goods and services and becoming a significant force driving the growth of international trade. However, as business scales continue to expand, cross-border e-commerce supply chains have exposed a series of problems, seriously restricting the further development of the industry. This paper focuses on the problems existing in cross-border e-commerce supply chains and deeply explores the effective paths for reducing costs and increasing efficiency in cross-border e-commerce supply chains driven by AI. However, in the application of AI technology, there are potential risks such as data security, algorithmic bias, and ethical issues. At the same time, there are still many difficult problems to be overcome in areas such as technological integration and innovation, green supply chain transformation, and the balance between globalization and localization strategies. This research provides practical guidance for cross-border e-commerce enterprises to optimize their supply chains by leveraging AI technology, which is of great significance for promoting the sustainable development of the cross-border e-commerce industry.