Sector · Manufacturing & Engineering

You know what you quoted. Do you know what it actually cost?

Most manufacturers can tell you their turnover to the euro and their true cost per job to the nearest guess. The quote was built on an estimate and never checked against reality — so the jobs quietly losing money keep getting won.

The Expensive Blind Spot

The job that went wrong looked fine on paper.

Bespoke and semi-bespoke manufacturing runs on estimates: so many hours, so much material, a bit of margin. The estimate goes out as a quote. The job gets made. And then, in almost every firm we have looked at, nobody ever closes the loop between what was estimated and what actually happened.

The information exists — on a job card, a timesheet, a materials docket, in somebody's head on the floor. It is simply never assembled while it is still useful. By the time the accounts are done, the quote for the next one has already gone out at the same price.

Closing that loop is usually the highest-value thing a manufacturer can build, because it changes what you quote rather than just how fast you invoice.

What Gets Built

From quote to shipped, honestly.

Job costing

Estimated against actual, per job, while it still matters — so the next quote is built on evidence.

Quoting bespoke work

Turning a drawing or a spec into a priced quote consistently, instead of it depending on who did it.

Production scheduling

What is on which machine, in what order, and what happens to the run when a rush job lands.

Shop-floor capture

Time, materials and progress logged where the work happens, in seconds, on a screen that survives a workshop.

Traceability

Batch, material and process history assembled as you go, so a recall or an audit is a query rather than a fortnight.

Quality records

Inspections, non-conformance and corrective actions captured as structured records rather than a folder of scans.

Where AI Fits On A Factory Floor

Not robots. Reading and reckoning.

Manufacturers hear "AI" and picture automation cells and machine vision. Those exist and they are capital projects. The cheaper, faster wins are elsewhere and they are mostly about reading.

Reading an incoming enquiry and drafting the quote. Reading a spec or drawing and pulling out the details that drive cost. Reading historic jobs to say "this one looks like the ones that overran" before you commit a price. Reading supplier confirmations and flagging when a lead time has quietly moved. Each is a judgement someone makes under time pressure, with incomplete recall, and each is exactly what a machine does consistently.

And the rule holds: it drafts and flags, a person prices and commits.

Questions

The ones we actually get asked.

We have an ERP. Do we need something else?
Often the ERP is fine at what it was bought for and poor at the specific thing hurting you — usually shop-floor capture, real job costing, or quoting bespoke work. Building the missing piece and connecting it is nearly always cheaper and less disruptive than replacing an ERP.
Will the lads on the floor use it?
Only if it takes seconds and survives a workshop. Shop-floor capture that asks for eleven fields gets filled in at the end of the week from memory, which is worse than nothing because it looks like data. Two taps, big targets, works with gloves on.
How does this help us quote better?
By closing the loop. Once estimated and actual sit side by side per job, patterns appear fast — the customer whose jobs always overrun, the material that is consistently under-estimated, the type of work that is quietly unprofitable. That changes what you quote, which is worth more than any efficiency gain.
We need full traceability for audits. Can you handle that?
That is a design requirement from the start rather than a feature added later. Batch, material and process history is captured as the work happens so an audit or recall becomes a query rather than a fortnight of digging.
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