Vending Machine Route Planning: How to Optimise FSM to Cut Miles and Missed Refills

The UK vending sector is expanding. The AVA’s 2024 census, reported by Retail Times, recorded product revenue of £2.14 billion, up more than 13% in a year, while smart fridges grew by 56%. Every one of those machines needs filling, fixing when a fault appears, and servicing on schedule, so growth tends to show up on the road well before it shows up anywhere else.

That matters because vans are already working hard. Department for Transport figures show vans in Great Britain covered 59.2 billion miles in the year to March 2026, and each avoidable journey adds fuel, time, and driver hours to the bill. For an operator with machines scattered across a region, the useful question is how many of those miles are doing real work.

Vending operators know their sites far better than we do, so we will leave the sector detail to them. Field service management is where we can help though. Juggling recurring, reactive, and planned jobs across scattered locations is a scheduling problem that FSM teams in many industries have already solved and in this article, we'll take a deeper dive into one area in particular: vending machine route planning. If you'd like a bit of insight as to why routes pick up wasted miles, how to schedule refills by need, how to bring engineers and service visits into the same plan, and why optimisation projects sometimes fail to stick, then read on...

Why do vending routes waste so many miles?

In field service terms, a vending operator juggles three kinds of work: recurring jobs such as refills, reactive jobs such as faults, and planned jobs such as servicing. When each is scheduled in its own diary or spreadsheet, the same site can be visited three times in a week by three different vehicles.

HSE guidance on planning journeys begins by asking whether a journey is necessary, and suggests combining work where possible. That is a handy test for any day sheet.

How can vending operators plan routes to reduce wasted journeys?

Treat all work as one queue and let scheduling rules do the grouping. A workable sequence looks like this:

1. Define each job type with a typical duration, the skills needed, and the parts or stock required
2. Give every job a priority and a deadline, drawn from contract terms where they exist
3. Group jobs by location and time window, so one visit can clear several tasks
4. Assign each group to the person and van best equipped to finish it first time
5. Re-sequence during the day as urgent work comes in

This is the core of vending machine route planning from an FSM angle: the route is the outcome of the job data, not a fixed round that jobs are fitted into.

Vending machine refill scheduling: trigger jobs by need

Field service platforms generate recurring work from triggers. A trigger can be a calendar interval, a threshold reported by the machine, or the completion of a previous visit. Sell-through recorded at each visit can then tune the interval for that machine.

To reduce missed vending refills, create the job with a lead-time buffer, so it enters the queue before stock runs low. Give it a flexible window too. That lets the scheduler slide a refill to join a nearby repair, which saves a trip and still beats the stock-out.

Vending engineer route planning: skills, stock, and priority

A refill driver and a service engineer need different skills, and a repair needs the right part on the van. Skills and stock matching keeps a qualified person from being sent to a job they cannot complete, which is the main source of repeat visits.

Mobile apps close the loop. A driver who spots a fault logs it with a photo, and that creates a follow-up job with the details already attached. The engineer arrives with the right part, and the earlier visit has already done half the diagnosis.

Vending service visit scheduling: keep contracts in view

Service contracts carry response times and planned visit frequencies. When those commitments sit beside each job in the schedule, with a clock running against the deadline, a planned service is far less likely to slide while the team chases refills. Each visit then adds to a history for that machine, which shows which assets generate repeat call-outs.

Why do route optimisation projects stall?

Gartner research notes that field service organisations often revert to manual scheduling after a few months, and points to opaque "black box" systems that ignore factors dispatchers care about. Transparency is the remedy: dispatchers should see why a job landed where it did, and be able to override it.

Realism matters as well. HSE advises allowing enough time at each stop for admin, avoiding peak traffic, and making sure work allocation apps let breaks be built in. Rules that can be adjusted by the operations team, without waiting for a developer, keep the schedule credible as the business changes.

Curious how refills, repairs, and servicing could share one schedule in your own operation? Book a demo and we will show you Solarvista, the 2-in-1 field service management system and no-code application platform, built around how you work.