The quote that lost money. Now every quote knows its real cost.

A make-to-order fabricator started lean on the two things bleeding margin, quoting and job costing, then added the rest as it grew. No replatform and no new admin headcount, because the system grows with the business and the AI reshapes it as the operation changes.

2 days → 2 hrsto turn a quote around, drafted from live prices
Estimate vs actualsetup time and scrap fed back into the next quote
~8-12 hrsa week back to the estimator, modeled
The trigger

A profitable quote that shipped at a loss.

Quotes lived in JobCost_v7_FINAL.xlsx, and the material prices in it were three weeks old. The shop won a bracket job at a price that looked healthy. By the time the steel was bought and the setup time was logged, it shipped at a loss.

Estimating took the best part of a day, on numbers nobody fully trusted, and the same mistake kept repeating because actuals never made it back to the estimate. The fix was not more spreadsheets. It was a system that drafts the quote from live costs and learns from every job.

How it grew

Start with what bleeds margin, add the rest as you scale.

Started with: Quoting + job costing

Quotes drafted from live prices and every job costed against actuals, replacing JobCost_v7_FINAL.xlsx without a big-bang project.

Added: Finance & ledger

When QuickBooks could not keep up with volume, finance moved in-system, on the company's own data.

Added: Purchasing + production scheduling

As output climbed, material-price tracking and shop-floor scheduling switched on, customized by AI in hours.

Added: CRM & margin reporting

B2B accounts, quoting history, and estimate-vs-actual margin by job came last, once the operation needed them.

AI inside the system

The system quotes, costs, and learns, not just records.

The operator works the quoting and job-costing loop under the approvals the shop sets, so margin stops leaking on the jobs you win.

  • Drafts a quote from live material prices and your takeoff, with setup time and scrap built in
  • Captures shop-floor actuals against each job and flags where the estimate leaked
  • Feeds the variance back, so the next quote on similar work is right
  • Reshapes a pricing rule or a scrap factor in hours when you describe it in plain language
What changes

A system that grew with the shop, and quotes that finally hold.

  • Quotes go out in hours, drafted from live material prices instead of a three-week-old price list
  • Setup time and scrap land in every quote, so margin stops leaking on the jobs you win
  • Actuals feed back into the next estimate, so the shop stops repeating the same costing mistake
  • Started lean on quoting and costing, added the rest module by module as volume grew, with no replatform
  • Around 8 to 12 hours a week back to the estimator, on data the shop owns, so the numbers are finally trusted again

Start with quoting and costing. Add the rest as you grow.

Book a demo and we'll start you on the modules bleeding margin now, with room to expand as volume grows.

Book a demo