Challenge
Cut cost-per-drop and missed time-window rate across a 220-vehicle urban fleet serving 18,500 stops/day, while absorbing same-day jobs without manual dispatcher rework.
Logistics & Last-Mile · Case Study
Route Optimization for a 220-Vehicle Last-Mile Fleet
Client: National parcel & grocery last-mile operator
Approach
- Loaded depots, vehicles, shifts, capacities, and driver skills into Route Optimization.
- Solved daily plans with time windows, traffic, and service-time constraints.
- Enabled live re-optimization when new jobs arrived or vehicles deviated from plan.
- Exported turn-by-turn manifests to the driver app and KPIs to the operations team.
Outcome
Plans publish in under 90 seconds for the full fleet. Same-day jobs slot into existing routes automatically, and the dispatch team now manages exceptions instead of building routes from scratch.
Key metrics
Representative figures from this engagement.
18,500
Stops planned per day
-22%
Total mileage
94.6% → 98.9%
On-time delivery rate
-71%
Dispatcher manual edits
$3.1M
Annualized fuel & overtime savings
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