Empty miles—those journeys made without cargo—are both wasteful and costly. In Europe, up to 25 % of truck trips are estimated to return empty, creating unnecessary fuel consumption, wear-and-tear, and CO₂ emissions.
AI and machine learning are revolutionizing load matching and route optimization. Platforms that handle real-time matching—considering load availability, truck location, capacity, weather, and traffic—can reduce empty miles by up to 50 %. In practice, even mid-sized fleets see reductions around 20–25 % through predictive dispatch systems
In the US, Uber Freight leverages AI to minimize idle miles, cutting them by roughly 10–15 % while offering upfront pricing and dynamic routing. While not all platforms achieve identical results, even a 20 % reduction equates to substantial savings in fuel, time, and carbon footprint—benefits that Routilia embeds in its core.
What This Means for You:
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Fuel and maintenance costs shrink significantly.
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Vehicle utilization improves, enhancing margins.
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CO₂ emissions decline, supporting ESG goals.
