By Greg Allan, tradesman and creator of Data First Coaching
How does travel time between mowing jobs actually eat into profit?
Travel time between jobs is paid labour. It does not show up as a line on the quote, so most gardeners never see it as a cost at all, even though the crew is being paid for every minute between one gate and the next.
A mowing round can look perfectly priced on paper. Add up the drive time between properties across a week, the detours for a hedging job squeezed in, the extra run to the tip with a trailer full of green waste, and the same round can be bleeding margin that never shows up until the bank balance tells a different story.
This is not a scheduling inconvenience. It is a hidden cost sitting inside every recurring maintenance contract, every strata job, every commercial grounds run, quietly eroding the gap between what was quoted and what actually gets banked.
Why does a round that looks fine on the quote still lose money?
A round looks fine on the quote because the quote is built on labour and materials for the job itself, mowing, edging, mulch, weeding, pruning, fertilising, not on the drive between jobs. That gap is where the margin disappears.
Most gardeners price a job by what happens once the ride-on or whipper snipper is out and working. The travel either side of that is treated as background noise. Over a week of recurring rounds, strata contracts and one-off jobs, that background noise adds up to real paid hours that were never priced into anything.
Seasonal swings make it worse. In the growing season, when rounds are packed tight and rain days push jobs into whatever gap is left, routes get rebuilt on the fly, by whoever is free that day, without anyone checking what that reshuffle actually costs in travel.
What number in the business actually shows the real cost of travel?
The number that tells the truth is the actual paid hours spent travelling between jobs each week, set against the hours billed on those same jobs. Memory says the round runs fine. The data, looked at this way, often says something different.
This is a data first way of looking at a mowing business: instead of asking the owner to explain how the round feels, it starts from what the job and finance numbers actually show about travel, fuel, trailer time and rain-day rescheduling, week by week. A feeling about the round is usually a feeling about last season, not this one, because rounds change as customers are added, dropped or moved.
Seen this way, route efficiency stops being an afterthought and becomes something the business protects deliberately, the same way it protects gross profit margin on every quote, rather than something left to whoever is free that day.
How can AI agents help a gardener plan tighter routes?
AI agents can take on the non-billable work of building and rebuilding the week's routes, doing it the way the gardener already works, with the same priorities around strata contracts, recurring rounds and rain-day rescheduling, instead of a generic map tool guessing. An AI agent is software that does a job the way the owner would, following their own rules, their own customer order and their own travel preferences.
For a gardener, that means the agent can take the week's jobs, including the hedging squeezed in and the tip run with the trailer, and arrange them so the crew spends less of the paid day driving and more of it on the tools. When a rain day forces a reshuffle, an AI agent can rebuild the route rather than leaving the crew to work it out between trailers at seven in the morning.
AI agents do not replace the gardener's judgement about which customers matter most or which jobs need to happen first. They remove the admin of rebuilding a route by hand every time the weather or the job list changes.
Should a gardener keep using an off the shelf route planning app?
Some off the shelf route and scheduling apps suit some gardening businesses well, particularly smaller operations with a simple round and few exceptions. The data from the business itself is what shows whether a generic tool is actually saving travel time or just moving the problem around.
The difference comes when a business has strata contracts, commercial grounds work and recurring maintenance contracts running alongside one-off green waste jobs, each with its own rules about timing, access and crew. A tool built for every lawn care business at once treats all of that the same way. A system built around how this gardener's jobs and customers actually run can weigh the things that matter to this round, not a generic one.
This is a choice the gardener gets to make with their own numbers in front of them, not a promise that either option will cut costs.
How does Data First Coaching approach this?
Data First Coaching starts by looking at the gardener's own job and finance data through the Trade Business Intelligence, not at a general idea of how routes should run. It looks for where travel time is actually sitting inside the week, which rounds, which rain-day reshuffles, which trailer runs, because that is where the real problem usually starts, not in the quote itself.
Greg built his own business on treating this as deliberate: he describes scheduling jobs so “the guys are having the least amount of travel time between jobs”, because left unchecked, that kind of cost “just was eroding our profit”. The how of building that into a gardening business is worked through inside the Academy, with members, because the Trade Business Intelligence is powered by every member who joins it, open minded and willing to share what they learn.
