LogisticsAI
Fleet & Routing Intelligence
Predictive routing and live ETAs that cut fuel spend and improved on-time delivery.
- Client
- GCC logistics operator
- Timeline
- 12 weeks
- Year
- 2024
PythonPyTorchFastAPIPostGISDocker
−22%
Fuel / delivery
96%
On-time rate
−50%
Planning time
±6min
ETA accuracy
The challenge
Static routes ignored traffic and demand, fuel costs ran high, and ETAs were guesses customers didn't trust.
What we built
We built a routing engine with demand forecasting and real-time traffic, surfaced through a live dispatcher dashboard and customer ETA tracking.
Results
- Fuel cost per delivery down 22%
- On-time delivery up to 96%
- Dispatcher planning time cut by half
Before
Static routes, high fuel cost, unreliable ETAs.
After
Predictive routing, lower fuel, ETAs within minutes.
Inside the build
Live dispatch map
Demand forecasting
Customer ETA tracker
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