摘要
This research explores the design and implementation of an AI-driven Single Window system for international trade,aimed at enhancing data integration,risk assessment,and decision-making processes.The study focuses on developing a modular,scalable architec-ture that integrates various AI technologies,including machine learning and natural lan-guage processing(NLP),to address inefficiencies in existing systems.The proposed system demonstrates improvements in customs clearance efficiency,risk detection accuracy,and supply chain management.Through detailed case studies,the effectiveness of the AI-driven Single Window system is evaluated,highlighting its impact on port management,interna-tional logistics,and overall trade facilitation.The findings suggest that the integration of AI into Single Window systems can lead to significant advancements in trade efficiency,transparency,and stakeholder collaboration.
