AI USE CASE
Small Fleet Daily Route Optimisation
Automatically plan driver-ready routes for small delivery fleets, cutting kilometres and fuel costs.
What it is
Given tomorrow's delivery stops, time windows, and vehicle capacities, an optimisation engine produces driver-ready route sheets in minutes rather than the 30–60 minutes a dispatcher typically spends manually. Small fleets of 5–30 vans typically see a 10–18% reduction in kilometres driven, translating to meaningful fuel savings and fewer late deliveries. Most off-the-shelf tools require only a stop list and a vehicle roster to get started, with no data science team needed. Businesses commonly recover the tool cost within the first 2–3 months through fuel and overtime savings alone.
Data you need
A daily list of delivery addresses, preferred time windows per stop, and basic vehicle capacity and start/end depot information.
Required systems
- none
Why it works
- Standardise how stops are submitted each afternoon so the tool can run automatically every evening.
- Involve drivers early — show them how the routes are built and gather feedback on road or access constraints.
- Track kilometres and fuel weekly for the first month to build an internal ROI case and maintain buy-in.
- Designate one dispatcher as the system owner who reviews exceptions and feeds corrections back into the tool.
How this goes wrong
- Stop lists arrive too late or in inconsistent formats, preventing the tool from running before drivers depart.
- Drivers ignore the optimised routes in favour of familiar habits, erasing efficiency gains.
- Time windows or vehicle constraints entered incorrectly, producing infeasible routes that lose dispatcher trust quickly.
- Tool is abandoned after a few weeks because no one is assigned to own and monitor daily outputs.
When NOT to do this
Avoid this if your daily stop count is consistently below 15 per vehicle — at that volume, manual planning takes under 10 minutes and the tool's subscription cost will never be recovered.
Vendors to consider
Sources
This use case is part of a larger Data & AI catalog built from 50+ enterprise transformation programs. Take the free diagnostic to see how it ranks against your specific context.