Artificial Intelligence for Efficiency Sustainability and Inclusivity in TradeTech 2025

Predictive AI relies on statistical analysis and machine learning (ML) to find patterns in data, making it particularly suitable for trend analysis and forecasting. Generative AI (genAI) draws on complex neural networks such as large language models (LLMs) and is especially powerful for activities such as generating and translating text, processing images and planning tasks.7 Many of today’s most powerful AI applications in trade draw on a combination of these models to produce decision support and automated insights for harmonizing data, predicting trends and more. Typologies of AI and their applications in trade BOX 4 Predictive AI builds on probabilistic models (including Bayesian statistics) and ML to, for example: –Fill information gaps in trade statistics and documents based on historical data –Optimize warehouse inventory –Assess risk and develop risk profiles for traders –Authenticate information and detect counterfeits and fraud –Forecast economic trajectories with increasing accuracyGenAI draws on complex neural networks like LLMs or generative adversarial networks (GANs) and ML to, for example: –Generate and translate text –Simulate complex scenarios to develop contingency plans –Respond to queries from clients and traders –Summarize information from trade documents –Generate trade documents, such as customs declarations Most TradeTech tools are compound AI systems, which combine AI types together and can be paired with other innovations, such as breakthroughs in big data and robotics (see Figure 3). For instance, genAI tools can help create an invoice or bill of lading, but to do this accurately often relies on data harmonized and processed through other AI techniques, which constitute the most important applications of AI in trade. The term “AI” in this report encompasses all instances of AI usage, including compound AI systems and their pairings with other technologies.  Intersection of AI and advanced technologies FIGURE 3 Artificial intelligence (AI) Big dataPredictive analyticsCloud computing Al as a serviceAutonomousvehicles and drones5GSmart contractsBlockchainAutomated warehousesRobotics Predictive maintenance and logistics Internet of things Artificial Intelligence for Efficiency, Sustainability and Inclusivity in TradeTech 10