Global Logistics AI Route Optimization
optimizing delivery routes in real-time to account for traffic, weather, and sudden order changes.
A global logistics giant managing last-mile delivery across 3 continents.
Real-Time Traffic Prediction Model
Dynamic Load Balancing Algorithm
Driver Companion App
1
Rising fuel costs eroding margins
2
Missed delivery windows due to traffic
3
Inefficient manual route planning
Reduced
fuel consumption by 18%
Improved
on-time delivery rate to 98%
Saved
$12M annually in operational costs
We built a reinforcement learning model that continuously optimizes routes for thousands of vehicles, pushing instant updates to drivers.
PythonTensorFlowGoogle Maps APIReact Native
