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The Daily AI Brief· 9 September 2026· 6:20

How Much Is Drive Time Actually Costing Your Trades Business?

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Transcript

Imagine parking your company ute in the driveway, leaving the engine running and just letting it idle for like three hours every single day. You'd never do it. It's crazy. You'd never do it. But right now, almost every local trades business in Australia is doing exactly that. They just can't see it. Yeah, it's totally invisible. So welcome to this deep dive. Today, we're grabbing a brilliant Field Note from CoterieLabs to uncover this invisible margin killer that's quietly draining time poor Aussie tradies and, you know, service businesses. And crucially, how AI can actually plug that leak. Exactly. Because it really is a quiet crisis. I mean, you're flat out. Your schedules are packed. You're working hard. But at the end of the month, the margins are just completely flat. Okay, let's unpack this. Because if you're running a trades or service business, you know exactly what we're talking about here. Absolutely. The real culprit is, well, it's windshield time. Yep. The silent killer. Right. It is that 25-minute gap between a job in Parramatta and another in Ride. It is the callback across town because an apprentice forgot a valve. Or that awkward 45 minutes of dead time right before knockoff where it's, you know, it's just too late to start a new gig. Exactly. It's exactly like that idling ute. Mm-hmm. It's just slowly, silently draining the petrol tank in your wallet. And when you calculate the cold, hard numbers on this, the cost of that idling ute is staggering. It really is. Let's talk loaded rates. Atreides, fully loaded rates. So that's wages, super, the vehicle itself, fuel insurance that runs about 65 to 95 bucks an hour. Right. It adds up fast. And across the industry, technicians spend a massive 25 to 40 percent of their day just driving. Which is wild when you actually do the math on that. Yeah. Like if you've got a crew of 10 on the road at an average of, say, 80 bucks an hour. Yep. And they spend, say, a third of their day staring at the steering wheel. You are throwing over 640 grand a year out the window. It's shocking when you hear it out loud. That's over half a million dollars just to sit in traffic. That's completely unsustainable. But, I mean, you can't just magically teleport people. No, you can't. And flogging the team to work longer hours just leads to burnout. It's not like you could expect them to be on the clock 24-7. Right. And that's where we have to look at how jobs are actually assigned. What's fascinating here is the sheer difference in processing power between a human dispatcher and an algorithm. Okay. How so? Well, a highly experienced human dispatcher is brilliant, but they can realistically only juggle about 10 variables in their head at once. An AI scheduler handles 40 variables simultaneously. Wow. 40? Yeah. It's weighing job history, parts availability, travel times, and client preferences all in real time. Okay. I hear you on the 40 variables, but honestly, I got to push back a bit here. Sure. Go for it. A computer doesn't know that the school zone traffic on Smith Street at 3 p.m. is an absolute nightmare. Right. A local dispatcher with 20 years of experience under their belt knows every single rat run in the suburbs. Yeah. Surely they beat an algorithm. Look, it's a completely fair point. And yes, a human knows the local shortcuts. But AI isn't just acting as a, you know, a digital street directory. Right. It's playing multi-dimensional chess. It optimizes by skill and location at the exact same time. It dynamically weights these factors against each other. Give me an example. Okay. So it sees Job A and Job C are close together. A human dispatcher naturally sends whoever is nearest. The AI, however, knows that Tech 3 is significantly faster at split system installs than Tech 7. Oh. So it instantly calculates that swapping their routes, putting each tech on the job they are individually fastest at, saves more total time than just taking the shortest driving route. Ah. So it's not just who is closest. It's who's closest. And ED will finish the fastest based on their specific track record. Precisely. It's like having a dispatcher who also memorize every technician A's resume and past performance reviews. That's exactly it. And by constantly shuffling the board based on all those factors, the AI recovers 15 to 20 percent of that lost drive time. Here's where it gets really interesting, though. Because recovering 15 percent doesn't look like a, you know, a Hollywood montage on a Tuesday afternoon. No, it's subtle. Yeah. It just feels like an extra half job squeezed in per tech per day. But when you compound that extra half job across a whole year, that brings $95,000 to $130,000 back into your productive capacity. And the crucial distinction here is that this is capacity, not just top line revenue. Right. The trucks are already on the road. The fuel is bought. The wages are paid. Yeah. You are simply extracting more value from the time you are already paying for. It's pure recovered margin. Exactly. Pure margin. So what does this all mean for the time poor business owner listening right now? Yeah. Like, where do you actually start? Well, here is your immediate practical homework. Do not go out and buy software today. Hold off on the credit card. Yeah, exactly. The biggest trap is the status quo. Just accepting the bleeding because it's familiar. Sit down, figure out your actual fully loaded rate and manually calculate your drive time cost. Yeah. Have a chat with your dispatcher to estimate the driving split. Do the scary math. Exactly. Do the math. If that final dollar figure shocks you, and honestly, it probably will, then it is time to start looking at AI scheduling tools. Spot on. Don't let that work. You keep idling in the driveway, burning through your hard-earned profits. It's time to take a hard look at the numbers and reclaim the time you didn't even know you were losing. Definitely. And I'll leave you with this final thought. Actually, think about this. If AI can perfectly optimize a tradie's route based on historical data today, how long until it starts predicting exactly when a client's hot water system is going to break down, before they even pick up the phone to call you? That was a Field Note brought to you by CoterieLabs. We help Australian businesses work out where AI actually pays and where it doesn't. The full write-up with every source and link is in the show notes. And if you're wondering where AI fits in your own business, there's a free two-minute scan at CoterieLabs.com.au. New Field Note. Every weekday.

This brief is built from a Field Note. Read the full write-up or book a quick chat.