Integration of Blockchain in AI‑Driven Trade Facilitation: Challenges and Opportunities
Qiang SUN · Journal of AI-Driven Trade Facilitation Engineering and Single Window Systems · 2024
This paper examines the integration of blockchain technology and artificial intelligence (AI) to enhance trade facilitation. It highlights their individual contributions to efficiency and transparency, explores their theoretical foundations, and identifies synergistic benefits such as improved data quality, enhanced trust, and optimized decision-making. Key challenges, including technical, legal, and organizational barriers, are discussed. Real-world case studies illustrate practical outcomes and implications for stakeholders. The study concludes with policy recommendations and future research directions, emphasizing the potential transformative impact on global trade models and a more efficient, transparent, and inclusive trade ecosystem.