AI技术驱动下的电商供应链效率提升研究：面向2025年的案例研究与前景展望

Research on the Efficiency Improvement of E-Commerce Supply Chain Driven by AI Technology: Case Studies and Prospects towards 2025

摘要: 本文系统审视了2025年中国电商行业在人工智能(AI)技术驱动下的供应链变革。研究聚焦于AI在需求预测、智能仓储、物流配送及跨境履约等核心环节的深度融合与应用场景，通过详实的产业数据与企业案例分析，并结合资源基础观与动态能力理论，量化评估了其对降本增效、体验优化与绿色发展的具体贡献。研究证实，AI技术通过数据驱动决策与自动化运营，已成为电商供应链向数智化、敏捷化转型的核心引擎，并显著增强了企业的动态能力。然而，技术应用仍面临数据安全与伦理、技术成本与普惠门槛、复合型人才结构性短缺等系统性挑战。本文据此提出，未来需通过完善法规标准、构建协同创新生态、降低技术普惠门槛、培育复合型人才等系统性对策，推动电商供应链实现更高质量、更可持续的发展。

Abstract: This paper systematically examines the transformation of the supply chain within China’s e-commerce industry driven by Artificial Intelligence (AI) technology towards 2025. The research focuses on the deep integration and application scenarios of AI in core segments such as demand forecasting, intelligent warehousing, logistics distribution, and cross-border fulfillment. Through detailed industry data and corporate case studies, and by integrating the Resource-Based View and Dynamic Capabilities Theory, it quantitatively evaluates its specific contributions to cost reduction and efficiency improvement, experience optimization, and green development. The study confirms that AI technology, through data-driven decision-making and automated operations, has become the core engine for the digital and intelligent transformation of e-commerce supply chains towards greater agility, and has significantly enhanced firms’ dynamic capabilities. However, the application of technology still faces systemic challenges including data security and ethics, technological costs and accessibility thresholds, and a structural shortage of interdisciplinary talent. Accordingly, this paper proposes that future efforts require systemic countermeasures such as improving regulations and standards, building a collaborative innovation ecosystem, lowering the threshold for technology accessibility, and cultivating interdisciplinary talent, to propel e-commerce supply chains towards higher-quality and more sustainable development.