Contextual AI and Generative AI offer transformative capabilities to improve the performance of transportation and logistics by optimizing route planning, inventory management, and predictive maintenance. Contextual AI analyzes real-time data from various sources, such as traffic patterns, weather conditions, and historical performance, to provide dynamic and context-aware recommendations for route optimization and fleet management. This enables logistics companies to reduce delays, fuel consumption, and costs while improving delivery speed and reliability. Generative AI can be used to simulate different logistics scenarios, design efficient supply chain models, and forecast demand fluctuations. By generating and testing multiple strategies, Generative AI helps you anticipate challenges, refine operations, and make data-driven decisions.