AI促进贸易科技的效率、可持续性和包容性_36页_17mb

Artificial Intelligence for Efficiency, Sustainability and Inclusivity in TradeTech
January 2025

Summary

Artificial intelligence (AI) is poised to transform global trade by enhancing efficiency, sustainability, and inclusivity. This report highlights AI’s potential across key trade sectors, including supply chains, logistics, trade finance, and customs compliance, while addressing implementation challenges and the need for global collaboration.

AI’s role in trade is multifaceted. It streamlines processes by automating tasks such as document management, predictive analytics, and risk assessment, reducing costs and improving transparency. For example, AI-powered platforms like Maqta Technologies’ Trade Single Window (TSW) cut documentation requirements for traders by 90% and reduce worker burdens by 50–90%, enabling paperless operations and real-time tracking of goods. Similarly, DHL’s MyGTS tool uses AI to analyze trade regulations, helping businesses navigate compliance and optimize costs.

Sustainability benefits are significant. AI aids in measuring and reducing Scope 3 emissions by analyzing production data and identifying environmental impacts across supply chains. It also supports waste management through automation, such as SK Ecoplant’s AI-driven recycling processes for EV batteries, which improve efficiency and reduce processing time by 32%. AI’s ability to model circular economy practices, such as predictive maintenance and resource optimization, further strengthens environmental outcomes.

Inclusivity is enhanced by AI’s capacity to support small and medium-sized enterprises (SMEs) in overcoming regulatory and financial barriers. AI tools facilitate language translation, automate contract management, and provide access to trade financing, addressing inefficiencies that disproportionately affect SMEs. Projects like Jetstream Africa’s AI-based trade finance platform have enabled over $8 million in loans and reduced loss rates for SMEs.

Logistics and supply chain operations benefit from AI’s predictive capabilities and digital twins. By integrating real-time data, AI helps anticipate disruptions, optimize routes, and improve inventory management. Digital twins, used by Maersk, simulate supply chain networks to enhance resilience and safety, while also allowing for proactive maintenance planning.

Trade finance is revolutionized by AI through faster credit decisioning, reduced fraud risks, and improved transparency. AI tools digitize documentation, automate risk assessments, and enable real-time data analysis, cutting credit processing time from months to seconds. However, challenges like data fragmentation and regulatory hurdles persist, requiring unified standards and public-private partnerships (PPPs) to ensure equitable adoption.

Customs and compliance are also reshaped by AI. Automated document processing reduces errors and delays, while AI-driven cargo scanning improves detection of contraband and counterfeit goods. Initiatives like the World Customs Organization’s Smart Customs Survey highlight AI’s potential in verifying transactions and ensuring secure, efficient trade flows.

The report emphasizes that AI adoption must be coordinated globally. “AI convergence”—uniform implementation across the trade ecosystem—can boost real trade growth by 13.6 percentage points through 2040, whereas fragmented “AI divergence” may create trade islands, concentrating benefits in certain regions and exacerbating inequality. Key factors for successful adoption include system interoperability, trust-building through verifiable data (e.g., digital IDs and zero-knowledge proofs), and PPPs to align incentives and develop shared standards.

Collaboration is critical for addressing the complexities of AI integration. Initiatives like the TradeTech Global Initiative, led by the UAE and the World Economic Forum, aim to foster cross-border innovation and equitable access to AI-driven trade solutions. By combining local implementation with global knowledge-sharing, such efforts can accelerate AI convergence and create a more resilient, sustainable, and inclusive trade system.

The report concludes that AI’s impact on trade depends on strategic cooperation, regulatory alignment, and investment in digital infrastructure. While AI offers transformative potential, its success will be measured by its ability to enhance collaboration, reduce systemic risks, and ensure broader participation in global trade.