Dispatch & Routing
Route Optimization Software for Last-Mile Delivery: Multi-Stop Planning Explained
A van with sixty stops has more possible orders than there are atoms in the universe. Route optimization software picks a good one in seconds, respects the time windows, balances the routes, and re-plans when the day changes. How it works for last-mile specifically, and what to demand of it.
Why Multi-Stop Is a Different Problem
Point-to-point routing — the fastest way from here to there — is what a map app does. Multi-stop routing is a different problem: given sixty stops, several vans, time windows on many of the stops, van capacities, driver shifts and a depot, decide which van takes which stops in which order so that the total time or distance is smallest and every window is met. The number of possible plans is astronomical; the software does not check them all, it searches cleverly and finds a plan that is very good in seconds. That is route optimization, and last-mile delivery is the case it was built for.
What the Software Has to Handle
The constraints a last-mile plan lives under, all at once.
| Constraint | Why it matters in last-mile |
|---|---|
| Time windows per stop | The customer chose a slot; missing it is the failure being paid to avoid |
| Service time per stop | A parcel drop is two minutes; an appliance install is forty; both count |
| Vehicle capacity | Parcels, weight, cubic space, and whether a stop needs a specific van |
| Driver shifts and breaks | The route has to end when the shift does |
| Depot departures and returns | Multiple waves, mid-day reloads |
| Priorities and fixed stops | The VIP delivery, the pickup that must happen at 3pm |
| Traffic by time of day | Downtown at 8am is not downtown at 2pm |
| Territory and balance | Drivers who know their area; routes of similar length |
The Morning Plan and the Re-Plan
In the morning the software builds routes from the day's manifest, and the plan goes to each driver's app in stop order with navigation. That saves the planner's hour and produces a better plan. But the value of the day is in the re-plan: a cancelled stop, a new pickup, a van running behind at 11am. Good last-mile optimization re-sequences a driver's remaining stops in seconds and can move stops between vans, with the driver's app updating and the customer's arrival estimate recalculated. Ask a vendor to demonstrate that, not the morning plan.
Where the Data Comes From
Optimization is only as good as its inputs, and the best inputs are the fleet's own history from telematics: how long this driver actually spends at this kind of stop, how long this street takes at this hour, where the van actually was when it was marked delivered. A route optimization tool that reads the fleet's telematics learns those over weeks and stops being wrong about the same street every morning. Live location from the vehicle is also what tells it a van is behind before the driver calls.
What to Measure
Stops per route per hour, distance per stop, on-time rate against windows, and planner time. A fleet moving from manual planning to optimization typically sees more stops per route, fewer kilometres per stop and a planner freed for exceptions, and those are the numbers to hold a vendor to in a trial: run the same day's manifest both ways and compare.
Frequently asked questions
What is route optimization for last-mile delivery?
Software that decides which van takes which stops in which order, given time windows, capacities, driver shifts and depot rules, to minimise time or distance while meeting every window — and that re-plans during the day when stops change.
How is it different from a map app's routing?
A map app finds the fastest way between two points. Route optimization assigns and orders dozens of stops across several vehicles under constraints, a far larger problem, and re-sequences them as the day changes.
Does route optimization need telematics data?
It works without it, but it is better with it: the fleet's own stop durations and drive times from telematics make the plan realistic, and live vehicle location is what triggers re-planning before the driver calls.
How do I test a route optimization tool?
Run a real day's manifest through it and through your current process, and compare stops per route, distance per stop, on-time rate and planner time. Then cancel a stop at 11am in the demo and watch what happens.
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