Optimizing Logistics and Supply Chain Management in Cross-Border E-Commerce: An Empirical Study Using AI and IoT Technologies
DOI:
https://doi.org/10.6981/FEM.202412_5(12).0016Keywords:
Cross-Border E-Commerce; Artificial Intelligence; Internet of Things; Logistics Optimization; Supply Chain Management.Abstract
This paper explores strategies for optimizing the logistics processes and the management of supply chains in cross-border e-commerce by leveraging Artificial Intelligence (AI) and Internet of Things (IoT) technologies. By conducting a comprehensive review of existing literature and utilizing empirical analysis, this study finds that AI and IoT technologies offer significant advantages in route optimization, enhancing supply chain transparency, and improving logistics efficiency. The study focuses on Shein, a leading cross-border e-commerce company, analyzing the practical applications of AI algorithms and IoT devices in logistics route planning and inventory management. The findings confirm the effectiveness and feasibility of these technologies in real-world operations, providing actionable insights for industry practitioners.
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