All case studies
Logistics
Logistics Route Optimization AI Intelligent Automation
A regional carrier dispatched 200+ last-mile vehicles a day with a static morning route plan that traffic, call-ins, and same-day pickups broke within the first hour.
Logistics
Industry
8 tools
Stack
Client
LogiSwift
Industry
Logistics
Service
Intelligent Automation
Stack
Google OR-Tools, Python, FastAPI
01
Challenge
“A regional carrier dispatched 200+ last-mile vehicles a day with a static morning route plan that traffic, call-ins, and same-day pickups broke within the first hour.”
02
Build
We replaced the batch optimiser with a live one that replans through the day using live traffic, new orders, vehicle capacity, driver hours, and a learned driver-neighbourhood preference model - with a dispatcher dashboard that proposes each change for one-click accept.
03
Outcome
23% lower fuel cost, 31% less overtime, and 18% more deliveries per vehicle per shift.
Deliverables
What the system does — functionality shipped.
- 23% reduction in fuel cost across the fleet. 31% reduction in over-time hours. 18% more deliveries per vehicle per shift. Dispatcher load reduced from "all day re-planning" to "exception management only".
Technologies
Google OR-ToolsPythonFastAPIPostgreSQL + PostGISRedisReactMobile app (React Native)Live traffic APIs
Similar Build?
Tell us your workflow. We'll review with this example as context and suggest the best path forward.
More Work
View all
Case study © AorBorC Technologies · aorborc.com · +1 (872) 267-2672 (872-AORBORC)