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Artificial intelligence in trade facilitation in Asia and the Pacific : a survey on the state of play, readiness and challenges
Artificial Intelligence (AI) offers major opportunities to streamline trade procedures, lower costs, and strengthen compliance across Asia and the Pacific. This first ESCAP-ADB Survey on Artificial Intelligence in Trade Facilitation (the Survey) evaluates AI adoption in trade facilitation among customs and other government agencies (OGAs) in 48 Asia-Pacific countries. The Survey evaluates AI adoption in trade facilitation through 4 pillars: Use of AI in operational processes, Legal framework and AI governance, Capacity to adopt AI, and Data management and quality. The Asia-Pacific regional average AI in trade facilitation implementation and readiness level across the 4 pillars stands at 20%, indicating AI adoption in trade facilitation remains at an early stage. The average implementation rate for pillar 1 on the actual use of AI in trade facilitation is only 13%, with legal framework readiness barely reaching 20%. In contrast, the average readiness in terms of organizational and technical capacity to adopt AI (pillar 3) and data management and quality (pillar 4) for AI stands at 24% and 40%, respectively. This points to significant potential but also to challenges in translating readiness into actual implementation. Significant gaps exist among countries and sub-regions, with East and North-East Asia implementation and readiness exceeding 50%, while Pacific Island Developing Economies (PIDEs) lag below 10%. The East and North-East Asia region leads in the use of AI in operational processes (41% vs. 15% average of other sub-regions). The Survey confirms that AI is most used for fraud/smuggling detection and cargo inspection/image analysis, with Customs well ahead of Other Government Agencies in the application of AI in trade facilitation. The use of AI for predictive analytics in trade operations remains very limited. Over the past 12 months, many countries have prioritised and made most progress in AI applications for risk management and cargo inspection. Only limi
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