Optimizing Cross-Border E-Commerce Logistics with Artificial Intelligence: Empirical Evidence from International Trade Platforms

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Yiping Cao, Subing Xie

Abstract

This in-depth report discusses how artificial intelligence is revolutionizing cross-border e-commerce logistics. It explores new technologies reshaping global trade. Through an exploration of real data from global trade platforms, the research shows how AI technologies like machine learning, predictive analytics, and smart tracking systems improve logistics. This renders it more efficient, less costly, and provides improved customer experiences. The study states that AI-driven solutions help with more precise demand forecasting, route optimization, tracking of inventory, and customs clearance. This grants businesses new abilities to handle complicated cross-border trade situations. The research utilizes case studies of major corporations like Alibaba, DHL, and Maersk to illustrate the potential contribution of AI in rendering supply chains intelligent and responsive. The report emphasizes the importance of technology in the future of global trade.

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