What is AI route optimisation?
Traditional route planning accounts for distance and sequence, but misses the complexity of real-time traffic, delivery windows, vehicle capacity and driver availability. AI route optimisation combines all these variables in a single optimisation model.
According to research by Capgemini, AI-driven route optimisation saves transport companies an average of 15–20% on fuel costs and increases delivery reliability by 25%.
How does it work?
The system uses constraint-based optimisation algorithms combined with machine learning. Real-time data (traffic density, weather conditions, road closures) is combined with historical patterns and your specific constraints (delivery windows, ADR classifications, vehicle types).
Planning is continuously adjusted: in the event of traffic jams, cancellations or urgent orders, AI immediately recalculates the optimal route for the entire fleet.
What does it deliver?
Transport companies report 15–20% fuel savings, 10–15% more stops per trip and up to 25% better delivery reliability. According to McKinsey, AI route optimisation delivers an ROI of 300–500% within the first year. The CO₂ reduction is a welcome side benefit.