人工智能对国际电商供应链时差的影响研究

The Impact of Artificial Intelligence on the Time Difference in International E-Commerce Supply Chains

摘要: 本文聚焦国际电商供应链中由跨时区运营导致的决策时序错位与信息延迟等核心挑战，通过构建融合时差参数的“制造商–供应商”二级供应链Stackelberg博弈模型，系统量化了时差对供需双方决策及利润的负面影响机制。研究创新性地引入人工智能(AI)技术参数，分析了AI通过实时数据同步与机器学习提升需求预测精度、压缩信息延迟的优化路径。数值分析表明，AI的介入能有效重构博弈均衡，使供应商安全库存成本降低23%~30%，制造商订单量优化10%~17%，并推动供应链整体利润提升18%~25%。本研究从博弈互动视角展示了AI技术化解的时差冲击，为跨境电商供应链实现跨时区协同效率提供了理论支撑与实践帮助。

Abstract: This paper addresses the core challenges in international e-commerce supply chains arising from cross-timezone operations, such as decision sequencing misalignment and information delays. By constructing a two-echelon manufacturer-supplier Stackelberg game model that incorporates time difference parameters, it systematically quantifies the negative impact mechanism of time differences on the decision-making and profits of both supply and demand sides. The research innovatively introduces artificial intelligence (AI) technical parameters to analyze the optimization pathway through which AI enhances demand forecasting accuracy and compresses information delays via real-time data synchronization and machine learning. Numerical analysis indicates that AI intervention can effectively reconfigure the game equilibrium, leading to a 23%-30% reduction in the supplier’s safety inventory costs, a 10%-17% optimization in manufacturer order quantity, and an overall supply chain profit increase of 18%-25%. From a game interaction perspective, this study reveals the intrinsic logic of how AI technology mitigates the impact of time differences, providing theoretical support and practical insights for achieving cross-timezone coordination efficiency in international e-commerce supply chains.