Artificial Intelligence for Efficiency Sustainability and Inclusivity in TradeTech 2025

Digital ID can help to build data reliability for AI-based decision-making BOX 5 Digital ID facilitates deeper implementation of AI throughout supply chains and is especially important to enable autonomous trade, under which AI agents automatically execute transactions based on predetermined criteria. Immutable IDs that parties can trust can be built using technologies such as the blockchain or cryptographic signatures, which AI can use to inform its decisions. Given the complexity of global supply chains, verifying the authenticity of legal entities, inputs, products and documentation has become increasingly difficult. AI can offset these challenges by automatically authenticating all parties in a supply chain using a single, global “root of trust” for identities, which offers a neutral source of truth that attests to the authority of counterparties.  Source: Key State Capital Supply chains for humanitarian needs BOX 6 Humanitarian supply chains are vital for delivering life-saving goods to vulnerable communities, particularly in crises. Emerging technologies, including AI, have the potential to strengthen these supply chains.10 Tools under development, such as the Global Supply Chain Dashboard (GSSD), aim to provide real-time visibility into potential disruptions – like security incidents, port congestion and natural disasters. This enhanced visibility could help humanitarian relief organizations navigate logistical challenges and ensure the delivery of critical resources, such as therapeutic food for malnourished children. By using anonymized data from public and private sources, AI-driven predictive analytics can anticipate risks, suggest alternative routes and prioritize resources. Improved data sharing and visibility promise greater resilience, enabling more coordinated and timely responses when supply chain shocks occur, ultimately saving lives.AI-powered mapping provides an information baseline that supports a broad range of other tasks, such as: –Compliance: Verifying inputs improves companies’ ability to ensure compliance across multiple regulatory environments. –Resilience: Improved supply chain mapping allows businesses to anticipate and improve responses to potential disruptions or bottlenecks (see Box 6). –Insurance: Better data mapping and analysis improves participants’ understanding of their concentration risks and ability to develop contingency plans for business interruptions. –Optimization of supply chains: Better visualization and mapping of supply chains can improve the way organizations optimize their production inputs, through reducing transport inefficiencies and streamlining supplier relationships, among other improvements. Another approach to verification involves using AI-enabled track-and-trace systems that monitor goods from production to sale. The layering of ML and AI-powered maps can analyse patterns to improve tracking and identify risks of illicit trade. Better visualization and mapping of supply chains can improve the way organizations optimize their production inputs. Artificial Intelligence for Efficiency, Sustainability and Inclusivity in TradeTech 13