By Greg Allan, tradesman and creator of Data First Coaching
Why do I keep running out of materials halfway through a job?
Most electricians assume it is bad luck or a disorganised apprentice who forgot to load the van. In reality, the pattern usually sits in the quote itself. If a switchboard upgrade or a fit-off was priced on a rough guess rather than a proper material allowance, the shortfall was already there before anyone picked up a drill.
An electrician running service calls, callouts and fit-offs in the same week rarely has time to check whether each quote actually carried enough cable, switches and power points for that specific job. So the guess becomes the standard, and the standard repeats itself on every similar job after it.
Is this really a stock control problem, or something else?
It looks like stock control because that is where the pain shows up, standing at the supplier counter at four in the afternoon. But stock control only manages what is already wrong. The real question is whether the original quote for that job type ever had a proper material allowance built into it in the first place.
A switchboard upgrade, a new home rough-in and a commercial fit-out all use materials differently. If every quote is priced from memory rather than from a consistent allowance per job type, some jobs will always run short and others will always carry too much stock back to the van unused.
What does it actually cost when I have to run back to the supplier?
Every unplanned trip for forgotten cable or fittings is unpaid time that nobody invoices for. It also quietly eats into the margin on that specific job, without ever showing up as one clear cost on a profit and loss statement.
For an electrician juggling test and tag, maintenance contracts, solar and battery installs and compliance certificates in the same week, these small gaps compound. One missing part here, one half hour there, and the gross profit on a job that looked fine on paper slips away before invoicing.
What does the data actually show me about this?
The number that tells the truth here is the gap between what a job type was quoted to use in materials and what it actually used, tracked job type by job type over time, not job by job from memory. That pattern, held consistently across switchboard work, fit-offs and EV charger installs, shows exactly where the allowance is wrong, not just that it is wrong.
Memory tells an electrician the last job that went badly. The data tells them which job type keeps going badly, which is a different and much more useful answer.
How can AI agents stop this before the van even leaves the yard?
An AI agent is software that does a job the way you would do it yourself, using your own prices, your own wording and your own rules. For materials, that means an agent can hold a proper material allowance for each job type, built from your own supplier pricing, and apply it consistently every time a quote for that job type goes out.
Picture an electrician whose supplier sends every invoice as an emailed PDF. He has no easy way to see what he is actually paying for cable, switches and fittings from month to month, or to notice when a supplier quietly lifts a price. An agent that gathers every supplier invoice, builds up his materials pricing and produces a discrepancy report, now set to run every month on its own, gives him that picture without him touching a spreadsheet.
This is data first work: the agent is only useful because it is reading the electrician's own invoices and his own job types, not a generic materials list built for every trade.
Should I just buy a stock management app instead?
An off-the-shelf stock app can suit some electrical businesses, and the data on how often jobs actually run short is what shows whether that is worth paying for. But most of those tools are built for every trade at once, so they rarely understand the difference between a switchboard job, a data cabling job and a solar and battery install.
The alternative is owning a system built around how your own jobs actually run, with AI agents handling the material allowance and the supplier pricing checks in the background. That is not a promise of lower costs. It is a choice about whether the tool is shaped around your business or you are shaped around the tool.
How does Data First Coaching approach this?
Data First Coaching, built by Greg Allan, starts from the electrician's own quoting and materials data through the Trade Business Intelligence, not from a conversation about what feels wrong. It looks at material allowance by job type first, because that is usually where the shortage actually starts, long before stock control becomes the symptom everyone notices. Greg has described building this inside the Academy as work where “I can pre-build the shopping list items and they're designed by me”, tailored to that electrician's own jobs. The how of that build is worked through inside the Academy, with members, because the Trade Business Intelligence is powered by every member who joins open minded, innovative and willing to share.
Looking for a business coach who starts from your numbers? Electrician Business Coach or every answer for electricians.
