Quantum Logistics
$2.1M saved. 340 routes optimized. Every single day.
$0.0M
Annual Savings
0%
On-Time Delivery
0%
Less Fuel Used
0
Routes Optimized
[ THE PROBLEM ]
What was broken
Quantum Logistics operated 340 daily delivery routes across 8 regions. Route planning was done weekly by 6 dispatchers using static rules. Fuel costs were rising, delivery windows were missed 12% of the time, and last-mile efficiency was hemorrhaging money. They estimated $3M in annual waste from suboptimal routing.
[ THE SOLUTION ]
How we fixed it
We deployed a dynamic route optimization engine that recalculates routes in real-time based on traffic, weather, delivery priority, and vehicle capacity. A demand forecasting model predicts next-day package volumes per region with 94% accuracy, enabling proactive fleet allocation. Drivers receive updated routes via a mobile app with turn-by-turn guidance.
[ THE RESULTS ]
What changed
- Delivery costs reduced by 31% ($2.1M annual savings)
- On-time delivery rate improved from 88% to 97%
- Fuel consumption dropped 23% across the fleet
- Dispatcher team reduced from 6 to 2 (others promoted to ops management)
“We thought we needed more trucks. Turns out we needed smarter routes. GESHER.AI paid for itself in the first quarter.”