Expected impact vs. ease of adoption of different technologies in customs FIGURE 2 1.02.03.04.0 9.05.0 0Ease of adoption (average) 5.0 6.0 7.0 8.0 Impact (average)4.0 Robots Virtual reality (VR) 3D printing Drones Biometrics Blockchain Big data and data analytics Geospatial mapping Internet of things (IoT) Cloud computing AI Source: Based on World Customs Organization (WCO). (2024). Smart Customs Project: Results of the WCO Smart Customs Survey. AI goals in trade Maqta Technologies Group’s AI-powered Trade Single Window innovation BOX 1 Developed and operated by AD Ports Group’s Maqta Technologies Group under the supervision of the Abu Dhabi Department of Economic Development (ADDED), the AI-optimized Trade Single Window (TSW) system uses a multimodal approach to create a trade ecosystem that integrates air, land and sea operations. TSWs traditionally allow traders to submit all necessary documents required for trading into a single platform. The AI-powered Advanced Trade and Logistics Platform (ATLP) goes beyond that to facilitate inspection, customs clearance and connections to economic zones. ATLP integrates numerous data sources to enable real-time tracking of goods, predictive analytics for supply chain optimization and streamlined trade processes.The project creates a paperless channel that fuses information sources covering 176 million digital transactions. ATLP’s data repository draws on over 20 maritime, aviation, rail, regulatory, financial and economic zone sources. Further, Maqta Technologies Group provides robust cybersecurity governance and ISO-certified protocols to ensure reliability. These security provisions create a foundation for testing and refining regulatory approaches and supporting the development of new technologies for global deployment. Since its implementation, ATLP has reduced documentation requirements for traders by 90% and cut the burden on workers’ time by 50-90%. Source: Maqta Technologies GroupEfficiency AI is adept at synthesizing statistical information to enable optimization and error reduction. Deploying AI effectively can free up human labour traditionally required to perform routine or dangerous tasks and allow workers to focus on higher-value, more complex activities. By automating and broadly optimizing trade processes, AI can support greater efficiency throughout the entire supply chain.As AI adoption in trade increases, the technology is showing early gains in three goals: efficiency, sustainability and inclusivity. Artificial Intelligence for Efficiency, Sustainability and Inclusivity in TradeTech 7

Artificial Intelligence for Efficiency Sustainability and Inclusivity in TradeTech 2025