摘要
This research explores the integration of artificial intelligence(AI)in customs clearance sys-tems to enhance trade compliance and border management.By leveraging machine learn-ing(ML),natural language processing(NLP),and predictive analytics,the study demon-strates how AI-driven systems can optimize risk assessment,automate document process-ing,and detect trade anomalies.Case studies illustrate the successful implementation of AI-based solutions in enhancing customs efficiency,reducing processing times,and im-proving decision-making accuracy.The research identifies key challenges,including data quality,interoperability,and ethical considerations,and proposes future directions,such as integrating blockchain with AI and developing explainable AI models.
