Live against quoted
Compare booked labour, material and bought-in cost to the quotation while the job is still running.
Commercial intelligence / Concept under discovery
Cost and Margin Intelligence
Track what a job is actually consuming against what was quoted, and flag the drift while there is still something to do about it.
The problem
Objective: Protect the margin you quoted.
Job costing usually arrives after the job has closed, in a month end report, by which point the money is spent and the lesson is theoretical.
The expensive decisions, the extra setup, the expedited freight, the third rework, were each small enough to wave through at the time and only add up afterwards.
What it does
Four things it has to get right.
Drift flagged early
Raise the job when consumption passes a threshold, rather than reporting the overrun once it is complete.
Where it went
Attribute the gap to the specific causes, rework, expedite, setup, scrap, rather than a single variance figure.
Back into quoting
Feed observed cost patterns by product and customer back into how the next job is priced.
Operational signals
What it reads.
Read-only, from the systems you already run. Nothing is replaced and nothing is written back without an approval.
- Booked labour and machine time
- Material issues and scrap
- Expedite and freight cost
- Rework and concession cost
Job at 82 per cent of quoted hours, 50 per cent complete
Two unplanned setups and one rework recorded
Same pattern on the last three jobs for this part
Re-plan and re-quote options prepared
An illustration of the kind of chain the system is designed to surface, not output from a live customer system.
The decision
Who acts on it.
Commercial, finance and operations leadership
Decide when to intervene on a running job, when to have the conversation with the customer, and what the next quotation should assume.
Illustrative scenario
A job passes 80 per cent of its quoted hours at the halfway point. See what is driving it and whether the remaining work can be re-planned.
Connected solutions
It does not work alone.
The same operational context powers every solution, so a signal picked up here shows its consequences everywhere else.
Is this the one costing you most?
We start with one measurable operational problem, your existing systems and a decision owner who can act. Tell us where it hurts and we will scope it honestly.