Scaling Low‑emission Transport Across Regions 

Sustainable logistics isn’t just a city affair. To reach climate targets, regional and cross-border transport networks must go low-emission, too.

AI is proving critical. In scaling green logistics, it helps operators coordinate vehicles, loads, and schedules across multiple territories and transport modes.

Modern AI platforms factor in local fuel mixes, traffic, rail timetables, and even regional emissions regulations. By aggregating data region-wide, operators can shift volume to cleaner rail corridors or high-occupancy freight, synchronise last-mile EV fleets, and adapt to disruptions across borders.

Predictive analytics ensure efficient multimodal handshake points, reducing unnecessary empty hauls and emissions. With the right digital infrastructure, companies can expand these practices across countries, amplifying impact.

The lesson: regional logistics must be intelligent and data-driven to scale decarbonisation; and AI is the engine making it happen.