人工智能在高效物流管理中的作用——基于中国供应链高质量发展的研究 

摘要：现代供应链体系的高质量发展离不开物流行业效率提升与成本优化。借鉴印度《国家物流政策》相关研究结论，政策制度、实体基础设施与人工智能数字化能力三者协同，是释放物流行业效能的关键动力。当前我国已经建成规模庞大的物流基础设施网络，但仍然存在多式联运衔接不足、行业碎片化、供需错配、数据孤岛等现实问题，制约供应链整体竞争力提升。人工智能技术可以通过预测建模、智能路径规划、NLP 自然语言处理、全链路可视化等技术手段，放大实体基础设施的投资价值，改善多式联运运行效率，实现物流成本优化。本文立足于中国供应链发展现实，分析人工智能赋能物流管理的作用机制，剖析当前实践中的现实困境，并从政策、产业、企业层面提出发展路径，为构建数智化现代供应链体系提供参考。
关键词：人工智能；物流管理；供应链；多式联运；成本优化
 

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The Role of Artificial Intelligence in Efficient Logistics Management: A Study on the High-Quality Development of China’s Supply Chain

Abstract: The high-quality development of modern supply chain systems depends critically on logistics industry efficiency and cost optimization. Drawing on findings from India's National Logistics Policy, policy institutional design, physical infrastructure, and AI-driven digital capabilities, the synergy of these three factors is the key driver of logistics productivity. Although China has built a large-scale logistics infrastructure network, challenges remain in multimodal transport coordination, industry fragmentation, supply-demand mismatch, and data silos, constraining overall supply chain competitiveness. Artificial intelligence can amplify the value of physical infrastructure investment and improve multimodal transport efficiency through predictive modeling, intelligent route planning, natural language processing, and full-chain visibility, thereby optimizing logistics costs. Grounded in the realities of China's supply chain development, this paper analyzes the mechanisms through which AI empowers logistics management, examines current practical constraints, and proposes development pathways at the policy, industry, and enterprise levels to support the construction of a digitally intelligent modern supply chain system.
Keywords: artificial intelligence; logistics management; supply chain; multimodal transport; cost optimization

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