PROSPECTS FOR USING ARTIFICIAL INTELLIGENCE IN IMPROVING CUSTOMS AUDIT BASED ON INTERNATIONAL STANDARDS
Keywords:
customs audit, artificial intelligence, risk management, post-clearance audit, digital customs, international standards, trade facilitation.Abstract
The rapid digitalization of international trade and the increasing complexity of cross-border transactions require customs administrations to modernize their control mechanisms. Customs audit, as a key post-clearance control instrument, plays a crucial role in ensuring trade compliance, revenue protection, and trade facilitation. This article examines the prospects of integrating artificial intelligence (AI) elements into customs audit systems in line with international standards and best practices. The study analyzes conceptual foundations, global trends, practical applications, benefits, risks, and policy implications. The research concludes that AI-driven customs audit can significantly enhance risk management efficiency, transparency, and fiscal effectiveness while supporting trade facilitation objectives.
References
The role of advanced analytics in customs risk management. Brussels: WCO. World Customs Organization, 2021.
David Widdowson, & Tom Cantens. Customs reform and modernization: A practical guide to risk management. World Customs Journal, 12(2), 3–20. 2018.
The use of advanced analytics in customs administration. Paris: OECD Publishing. Organisation for Economic Co-operation and Development, 2020.
Customs modernization handbook. Washington, DC: World Bank Group. World Bank, 2020.
Richard Baldwin. The Great Convergence: Information Technology and the New Globalization. Cambridge, MA: Harvard University Press, 2016.
Trade facilitation and the global economy. Geneva: WTO. World Trade Organization, 2018.






Azerbaijan
Türkiye
Uzbekistan
Kazakhstan
Turkmenistan
Kyrgyzstan
Republic of Korea
Japan
India
United States of America
Kosovo