Every dispatcher has used Google Maps to check a route. It works fine for one truck making one delivery. It breaks down the moment you have three trucks, twelve stops, and the constraint that driver A has been on duty since 6am and driver B has a HOS reset at 14:00.
This isn’t a knock on Google Maps — it’s solving a fundamentally different problem. Consumer navigation optimizes the fastest route for a single vehicle with no constraints beyond start and end point. Fleet dispatch optimization solves a combinatorial problem: which truck delivers to which stops, in what sequence, given driver availability, load compatibility, delivery windows, and legal driving time constraints.
What Multi-Stop Optimization Actually Computes
The travelling salesman problem — find the shortest route visiting N locations exactly once — is computationally hard. For 15 stops, there are over 1.3 trillion possible route sequences. For 20 stops: over 2 quadrillion. A dispatcher building routes manually is working through a tiny fraction of those combinations using intuition and experience. A good AI optimizer evaluates orders of magnitude more combinations in seconds.
Fleet route optimization adds additional constraint layers on top of pure distance minimization:
- Time windows — Customer X accepts deliveries 08:00–12:00 only
- HOS constraints — Driver A can only drive for 3.5 more hours before requiring a break
- Vehicle capacity — Load combinations that exceed axle weight or volume limits
- Priority loads — Urgent or time-sensitive deliveries that must be routed ahead of standard loads
- Dynamic rerouting — Traffic incidents, road closures, or new load pickups that change the optimal sequence mid-route
The Real-World Impact
Carriers implementing AI route optimization report 15–25% reduction in total kilometres driven per day across the fleet. For a 10-truck fleet averaging 400 km/truck/day at €0.45/km, a 20% reduction in total km = €360/day = €90,000/year in fuel and operating cost savings. Most carriers see payback on the software investment within the first month.
RouteWerk’s AI routing engine computes multi-stop routes across your full fleet in under 3 seconds, accounting for HOS constraints, delivery windows, vehicle capacity, and live traffic. Dynamic rerouting updates sequences in real time as conditions change. Available on all plans.
