The global freight sector faces growing pressure to balance cost-efficiency with environmental responsibility. With freight transport accounting for a significant share of global emissions, efforts to improve logistics now extend beyond operational metrics to include resilience, regulatory compliance, and climate performance. This shift reflects a broader transition toward data-driven, performance-based management of freight networks. As technologies like artificial intelligence (AI) gain traction, the focus has remained on practical applications that yield incremental improvements rather than wholesale infrastructure change. AI is playing an increasingly pragmatic role in optimizing supply chain operations. From route optimization and predictive analytics to real-time monitoring and emissions tracking, AI tools are being embedded in core logistics workflows. These tools do not aim to replace human decision-makers but instead enhance visibility, enable smarter planning, and improve overall resource utilization. As regulatory requirements expand and customers demand greener practices, AI helps logistics firms align sustainability goals with operational outcomes. (....)