AI automation for manufacturers that wins more RFQs

AI automation for manufacturers means the deal-losing admin — answering RFQs, chasing quotes, updating customers and scheduling jobs — runs on its own while your people stay on the floor. In my experience the shops that win the work aren’t the cheapest, they’re the ones who quote first and follow up without fail. The systems we install make that the default instead of a scramble, and they run on the ERP and accounting software you already have.

Why manufacturers lose jobs on slow RFQ turnaround

Walk the floor of most Australian manufacturers and the machines are running fine. The leak is in the office. A request for quote lands by email, the estimator is out on the shop floor or heads-down on another job, and it sits for three days before anyone opens the drawings. By the time your number goes out, the buyer has already had two quotes from shops that were quicker off the mark — and the first clear, confident quote in their inbox usually sets the price everyone else is measured against.

It’s the same story trades know well, just with bigger numbers and longer specs. The buyer isn’t running a formal tender — they’re placing the job with whoever comes back fast, sharp and sure of themselves. Every day an RFQ sits unquoted is a day a competitor is talking to your customer. And once the quote is out, it often dies quietly, because nobody chased it while the shop got busy with the work already on the books. That’s not a pricing problem or a marketing problem. It’s an admin problem, and admin is exactly what a system runs better than a stretched estimator ever can.

The RFQ to quote workflow we install

Here’s the workflow end to end, from an enquiry landing to the job hitting your schedule. Every step runs on the software you already pay for, and you stay in control of the number.

1. RFQ captured instantly — an email, web form or phone enquiry is logged the moment it arrives, so nothing sits unopened in a shared inbox while the estimator’s on the floor.
2. Acknowledged in minutes — the buyer gets an immediate, professional reply confirming you’ve got it and when to expect a number, so you look switched-on from the very first touch.
3. Details and specs gathered — the system collects quantities, materials, tolerances, drawings and the due date, and flags anything missing before it ever reaches your estimator.
4. Draft quote prepared — it pulls your rates, materials pricing and standard line items into a draft, so your estimator is checking a number rather than building one from a blank page.
5. You review and price it — the draft lands with your estimator to adjust for the things only a human knows, then approve. Nothing goes to a customer until you’ve said yes.
6. Quote sent same day — the buyer has a clear, itemised quote in hours, not next week, while they’re still deciding.
7. Follow-ups run automatically — if the quote goes quiet, the system chases on a schedule until it’s won, lost, or the buyer replies.
8. Job scheduled — once it’s accepted, the order drops into your production schedule and your ERP, so it’s planned in, not sitting on a sticky note by the kettle.

That’s eight steps and you’re hands-on for one of them — pricing the job. The reading, the acknowledging, the spec-gathering, the chasing and the data entry all come off your team’s plate, which is exactly where the hours were quietly going.

Built on the ERP and tools you already run

We’re not here to rip out your systems. If you run an ERP or MRP like MRPeasy, Katana or a job-management platform, that stays the engine — the quote, the bill of materials and the production schedule still live there. Your accounting keeps flowing into Xero or MYOB the way it does now. The automation sits over the top, doing the fetching, the drafting and the chasing, and writing back into the tools your team already trusts. Your people don’t log into anything new.

Under the hood we wire it together with tools like n8n, so your inbox, your quoting, your ERP and your accounting finally talk to each other instead of forcing someone to copy details between them. No new dashboard to learn, no double entry, no spreadsheet holding the whole thing together with hope. It’s additive by design — the same principle behind every AI install we do, and the reason the manufacturing systems we build fit your shop instead of fighting it.

You still price and approve every job

This is the first question every manufacturer asks, and it’s the right one. No — the system does not fire quotes out on its own. It does the legwork, then it stops and waits for you. The draft sits with your estimator until they’ve checked the material rates, the machine time and the margin, and hit send. It takes the typing and the chasing off the desk, not the judgement.

That matters because you know things the software doesn’t. This alloy’s gone up since the last run. That customer always pushes for a discount, so you build a little room in. This job needs outsourced finishing that changes the lead time. You make those calls in seconds when the draft’s in front of you — and because the groundwork is already done, you’re pricing between jobs instead of staying back after the shift to catch up on quotes you should have sent that morning.

Turning one-off orders into repeat revenue

Winning the job is only half of it. The bigger money in manufacturing is the reorder, and it’s the part that slips most. A customer who ordered 500 units in March will need more by September — but unless someone remembers to reach out at the right moment, they’ll place it with whoever happens to be in front of them. The system tracks reorder timing off the last order and prompts the customer before they think to shop around, so the repeat work comes back to you by default.

The same backbone handles the admin that clogs a busy shop — order confirmations, dispatch and delivery updates, overdue-invoice reminders, and a review request once the job ships. And because it’s all connected, you can finally see the numbers in one place: quotes out, win rate, average lead time and cash owed. That’s the kind of reporting we walk through in automated financial reporting, and it’s how you stop finding out about a slow month once it has already happened.

How we build it for your shop

We start with the one workflow bleeding the most time or money — for most manufacturers that’s RFQ response and quote follow-up, because it’s costing you jobs you should be winning. We map how enquiries reach you today, build that piece on your existing tools, test it on real quotes until it holds up, and hand it over. Then we add the next layer. If you want the wider view on sequencing, where AI automation pays off first walks through it, and how much AI automation costs is an honest look at the numbers before you commit.

None of this is about making your shop fancier. It’s about not losing jobs you’d win if you’d only quoted faster, and getting your estimators off admin and back onto the work that actually needs them. The machines already run themselves. It’s the office that’s still done by hand — and that’s the part we automate. It’s the same playbook we install for trades and construction, fitted to how a manufacturer really quotes, schedules and reorders.