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LogisticsLogiTech Freight
Logitech Route Optimization
Client Case Study & ROI Analysis
LogiTech Freight Case Study
Fleet of 2,400 vehicles using static routing, burning $18M annually in excess fuel costs and suffering from 15% on-time delivery failure rate.
Key Capabilities
- →23% reduction in fuel costs ($4.1M annual savings)
- →On-time delivery rate improved from 85% to 96%
- →Average delivery time reduced by 18 minutes per route
- →Driver satisfaction score increased from 6.2 to 8.9/10
Industry Use Cases
Logistics
Technologies Used
PythonPyTorchGoogle Maps APIFastAPIReact NativeKafka
23%
Fuel Savings
96%
On-Time Rate
$4.1M
Annual ROI
The Challenge
Fleet of 2,400 vehicles using static routing, burning $18M annually in excess fuel costs and suffering from 15% on-time delivery failure rate.
Our Solution
Built a real-time route optimization engine using reinforcement learning, integrated with live traffic APIs, weather data, and vehicle telemetry -deployed as a mobile-first driver app.
Results & Impact
- 23% reduction in fuel costs ($4.1M annual savings)
- On-time delivery rate improved from 85% to 96%
- Average delivery time reduced by 18 minutes per route
- Driver satisfaction score increased from 6.2 to 8.9/10
Technologies Deployed
PythonPyTorchGoogle Maps APIFastAPIReact NativeKafka
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