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
The exact savings from AI route optimization depend heavily on your existing dispatch process and fleet size — a fleet already using a skilled dispatcher with route-planning software will see smaller gains than one still planning manually. As an illustrative example only: for a 10-truck fleet averaging 400 km/truck/day at €0.45/km, even a modest reduction in total kilometres driven translates into meaningful annual fuel and operating cost savings. Run the calculation with your own fleet’s numbers to estimate the impact for your operation.
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.
