case study
Route optimization for a logistics fleet
AI routing and real-time tracking that cut empty miles and turned guesswork ETAs into reliable promises.
This is an illustrative example · a representative scenario of the kind of work we do, not a named real client. Figures are directional, not guarantees.
-15%
Illustrative mileage cost
Reliable
Customer ETAs
+20%
Illustrative fleet utilization
The challenge
Dispatch was manual and reactive, routes were inefficient, and customers had no reliable delivery windows.
What we did
- Built AI route optimization factoring in traffic and demand
- Added real-time tracking and predicted ETAs
- Automated dispatch suggestions with human override
- Surfaced utilization metrics to managers