Costing & FinanceFree worksheetPDF, Excel, Word exportDiscrete Manufacturing

Cost Estimating Review Checklist for Manufacturing Quotes

This cost estimating review checklist helps a second person check a manufacturing quote before it is submitted. It focuses on the things estimates most often miss: unpriced operations, outside processing, scrap, tooling, freight and margin. Edit the rows, record what is missing and export to Excel.

Download:
Review areaWhat to verifyStatusAmount in quoteAmount missing or at riskAdjusted amountOwner
$0
$4,580
$12,500
$3,550
$1,800
$1,300
$550
$3,670
Quote amount
$26,950
Net amount missing or at risk
$1,000
Adjusted amount
$27,950
Net adjustment as percent of quote
3.7%
Positive means the quote is understated by this share.
Review lines
8

Enter the amount in your quote against each review area and any missing or at-risk amount you find. Use a negative number to show a margin cushion or an overstated line. The sample rows show a typical review. Replace them with your own lines.

Compare quotes with actuals from your ERP

Optional: see how a private AI can benchmark a new estimate against similar completed jobs.

Optional. The tool and every export work without this. No spam.

How to use the review worksheet

Give the reviewer the RFQ, drawing and estimate. For each row, check the item, set a status, record what the quote includes and any amount missing or at risk. The worksheet adds the adjustment and shows the net change as a percent of the quote. If the net adjustment is more than a few percent, re-price before sending. Add your own rows for customer-specific requirements.

The areas estimates most often miss

Estimators usually capture machine run time well and forget the surrounding costs. Reviewers should specifically look at the following, because each can erase margin on a short lot.

  • Setup, first article and inspection time, especially on small lots
  • Outside processing minimum charges, freight and turnaround
  • Raw material minimum buys, kerf and bar remnants
  • Scrap and rework allowance tied to part complexity
  • Tooling, fixtures, programming and gauge cost
  • Packaging, certs, documentation and shipping

Reading the result and checking margin

Margin is only meaningful after the adjustments. A quote showing 20% margin that carries 6% of missing cost is really a 14% margin job. Compare adjusted cost with price and your minimum approved margin, and compare against similar past jobs. After the job ships, compare estimate with actual costs and feed the difference back into your rates and scrap factors.

Using ERP history in the review

The strongest check is history: how long did similar parts actually take, and what was the real scrap and outside processing cost? Pull actuals from job costing in your ERP rather than relying on memory. A private AI layer on an on-prem ERP can compare a new estimate against similar past jobs and flag where the quote is thin, without sending part data outside your network.

Frequently Asked Questions

What should be checked in a cost estimate review?

Scope against the RFQ, complete routing with setup and inspection, material with yield, outside processing, tooling, scrap, packaging and freight, overhead rates and the final margin. Also check terms such as lead time, validity and payment.

Who should review a manufacturing estimate?

Someone other than the estimator, such as a process engineer, operations manager or experienced estimator. A fresh reviewer is more likely to catch missing operations and unrealistic cycle times.

How much scrap should an estimate include?

It depends on the part, material and process, and should come from your own historical yield data. Complex parts, exotic materials and first article lots need more allowance than simple repeat parts.

How do I improve estimate accuracy over time?

After each job compare estimated and actual hours, material, outside processing and scrap, then update standards and review rows. Tracking variance by part family quickly shows where estimates run thin.

Netray can add a private AI layer to your ERP that compares each new estimate with actual costs from similar past jobs, running on your own servers.

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