AI Route Optimization for Logistics Company
Logistics and transportation company in Piedmont - 45 employees, fleet of 28 vehicles
-62% (from 22% to 8.4%)
Empty kilometers
-28,000 EUR
Monthly fuel cost
+34% (from 71% to 95%)
On-time deliveries
-85% (from 3h to 25min)
Daily planning time
-18 tonnes
Annual CO2 emissions
The problem to solve
Manual route planning generated 22% empty kilometers, with high fuel costs and frequent delays. Dispatchers spent 3 hours every morning planning the day's deliveries, often with suboptimal results.
What we implemented
AI route optimization platform that considers delivery windows, vehicle capacity, real-time traffic, customer priorities, and regulatory constraints. The system suggests optimal routes and updates dynamically throughout the day. Integrated with the company TMS and fleet GPS devices.
Measured impact
Empty kilometers
-62% (from 22% to 8.4%)
Monthly fuel cost
-28,000 EUR
On-time deliveries
+34% (from 71% to 95%)
Daily planning time
-85% (from 3h to 25min)
Annual CO2 emissions
-18 tonnes
Timeline
10 weeks (5 development + 3 TMS integration + 2 go-live)
Investment
55,000 - 75,000 EUR (Transition 5.0 up to 45% for emission reduction)
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