How Apex Logistics Cut Route Planning from 6 Hours to 20 Minutes
Apex Logistics, a mid-size US supply chain company operating 200+ routes daily, partnered with AROG AI to deploy AI-powered route optimization and demand forecasting.
!The Challenge
Apex Logistics was managing 200+ delivery routes daily across the Midwest, relying on experienced dispatchers who manually planned routes each morning. As the company grew, this approach became a bottleneck — dispatchers spent 6+ hours per day on route planning alone, fuel costs were climbing, and late deliveries were eroding customer trust. Hiring more dispatchers wasn't scalable.
6h+
Daily route planning time
$2.1M
Annual fuel spend
12%
Late delivery rate
3
Senior dispatchers needed
⚡Our Solution
AROG AI built a custom AI route optimization engine integrated with Apex's existing TMS (Transportation Management System):
- ✓AI route optimization using real-time traffic data, weather forecasts, and delivery time windows
- ✓Demand forecasting model trained on 3 years of historical shipment data to predict volume spikes
- ✓Dynamic re-routing that automatically adjusts when delays or cancellations occur mid-day
- ✓Driver assignment optimization based on vehicle capacity, driver hours, and proximity
- ✓Live KPI dashboard tracking fuel costs, on-time delivery rate, and route efficiency
📈Results
6hrs
20min
Route Planning Time
$2.1M
$1.4M
Annual Fuel Cost
88%
99.1%
On-Time Delivery
Manual
AI-driven
Dispatch Process
"We went from three dispatchers spending their entire morning planning routes to a 20-minute AI-assisted process. The fuel savings alone paid for the project in two weeks. Our on-time delivery rate jumped to 99.1% — our customers noticed immediately."
— Marcus Chen, VP of Operations at Apex Logistics
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