Smarter Routes, Cleaner Roads: AI Reinvents Trucking

AI-driven fleet planning cuts electric truck costs by up to 13%, powering Europe’s smarter, cleaner logistics shift

21 Jun 2025

Artificial intelligence is accelerating Europe’s transition to electric road transport, according to new research by Swedish technology company Einride and Germany’s Fraunhofer Institute for Systems and Innovation Research (ISI).

The study examined more than 38,000 deliveries made by German retailer REWE using a fleet of about 200 vehicles. It found that fleets employing AI-based route and charging optimisation cut operating costs by 8 to 13 per cent, depending on baseline assumptions. In those scenarios, electric trucks covered 54 per cent of total mileage and carried 85 per cent of total payload, compared with roughly one-third of total mileage without AI optimisation.

Einride’s planning platform uses real-time data to forecast routes, energy consumption and charging schedules. Fraunhofer ISI said this integration between vehicles, infrastructure and software was key to realising savings and improving fleet utilisation. “Integration, not just electrification, is what reduces costs,” a Fraunhofer ISI spokesperson said, highlighting the growing role of digital coordination in logistics.

The findings have broader implications for Europe’s supply chains. Fleet operators can use AI tools to identify routes best suited for electrification, while energy utilities gain clearer visibility over charging patterns and grid demand. For policymakers, the research provides evidence that digitalised electrification can support the EU’s Fit for 55 target, which aims to reduce road transport emissions by 90 per cent by 2050.

Challenges remain for smaller operators and regions lacking sufficient charging infrastructure. However, new business models such as “electrification as a service”, combining vehicles, charging and software in a single package, are emerging to bridge these gaps.

Europe’s logistics sector is shifting from merely replacing combustion engines to rethinking how fleets are managed. As AI continues to prove its ability to lower costs and improve efficiency, digital optimisation is set to become as central to transport decarbonisation as the vehicles themselves.