Find out which jobs are costing you to win.
Maryland and Pennsylvania job shops live in ERP for quotes and QuickBooks for cash—but nobody puts quote floor next to realized margin by job family. We stitch the two so you know what to raise before the next rate card goes out.
Job family overruns and rate resets in one estimator board14 jobs under floor
cycle time improved
quote setup separately
best customer GM
Vertical line = bid margin floor by family. Marker = realized closeout average after labor and material consumption from the ERP.
Quotes, timecards, and material issues. One rate-reset board by category.
Data from shop floor & ERP
- Quote history (line items and categories)
- Time & attendance by job number
- Materials consumption from ERP
- Optional: scrap, rework, and setup time
Honest pricing signal
- Variance by job category, not just average margin
- Recurring overruns flagged with probable cause
- Recommended rate adjustments per category
- Customer-level profitability when useful
Custom & job-shop manufacturers
- Metal fab, machining, weldments, fixtures
- Owner-operators and COOs
- Estimators setting future quotes
- Job shops from the Baltimore industrial corridor up through York, Lancaster, and the Lehigh Valley
For shops that already quote, build, and close out jobs.
The useful question is rarely whether the ERP has another report. It is whether the estimator and owner can see which quote assumptions need to change before the next job family comes through.
Do you replace our ERP or quoting system?
No. AnthroSync usually sits beside the ERP, quote files, time records, and accounting data so owners and estimators can see where quote assumptions missed reality.
What shop data matters most?
Quote history, job numbers, labor hours, material issues, setup time, scrap, rework, and shipped revenue. The first version only needs the pieces tied to the margin question.
Can this handle low-volume custom work?
Yes. The system groups work by job family, process, customer, material class, or quote pattern so low-volume work still produces useful pricing signals.
What does the board actually tell us?
It points to quote floors, rate categories, setup assumptions, rework pockets, and customer or job families that deserve a pricing reset.
Where would AI be used here?
Only for bounded work like grouping messy job descriptions, summarizing margin changes, or flagging repeated variance language in notes and closeout records.
What would a first engagement prove?
It should prove whether a specific job family, customer group, or rate assumption is leaking enough margin to justify changing the next quote cycle.
Want this built for your shop?
Share a sample of recent quotes and time records and we'll show you where the bleed is.