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

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Jie Lin

Abstract

This study explores the effect of artificial intelligence (AI) in logistics optimization for cross-border e-commerce. The research through empirical data analysis confirms that AI effectively reduces costs, improves delivery speed, and improves supply chain efficiency and customs clearance. AI-powered technologies like route optimization, demand forecasting, and warehouse automation significantly improve the operations of logistics companies. However, AI has faced challenges such as high implementation costs and regulatory hurdles, yet it offers potential revolutionary opportunities for international trade. This study points out the necessity for the combination of stakeholders to develop an efficient, adaptive, and robust logistics system with accompanying AI technology globally.

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