Urban Courier Company Scales Dispatch with AI Route Optimization
Our client rolled out dynamic route intelligence across city zones, improving ETA reliability in dense traffic while reducing delivery costs and emissions.
The Challenge
Dispatchers were manually sequencing routes each morning and re-planning by phone all day. Route inefficiency led to fuel overuse, SLA misses, and high last-mile stress on drivers.
The Solution
We deployed a route optimization engine that reorders stops using real-time traffic, zone restrictions, parcel priority, and vehicle load constraints.
The Shift (Before vs. After)
Fuel spend / month
Before
EUR 186k
After
EUR 148k
On-time delivery
Before
90%
After
98%
Deliveries / driver / day
Before
42
After
48
Key Results
Client Perspective
"Dispatch has gone from reactive to predictive. Our teams trust the plan before the day starts."
C. Moreau — Head of Logistics, Our Client
Company Profile
Client
Urban Courier Company
Location
Paris, France
Industry
Logistics
Business Type
Urban courier network serving fashion and luxury brands
Implementation Timeline
7 weeks including live-dispatch cutover
Primary Impact
20% fuel savings
Tech Stack Used
Rollout Plan
- Week 1-2: Fleet telemetry + dispatch data wiring
- Week 3-5: Optimization model and city-zone constraints
- Week 6-7: Dispatcher command center rollout
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