Why Machining Quoting Tools Fail Finishing Shops
A machine shop prices on spindle hours. A plating or anodizing shop sells a chemistry cycle, so the cost drivers are different: tank time, rack or barrel capacity, bath chemistry consumption, racking and de-racking labor, masking, rework risk, wastewater treatment and the paperwork that travels with the lot. Customers also send parts with a one-line spec such as 'zinc nickel per ASTM F1941, clear trivalent' and expect a per-piece price within a day.
The estimator has to translate that line into a process sequence, a thickness target and a test plan. Tools without a process library and a loading model push all of that back to the estimator's memory.
- Price drivers are surface area, load density, tank time and masking, not machine hours
- Spec callouts drive hidden cost: thickness class, bake for hydrogen embrittlement relief, salt spray test
- Minimum lot charges often decide whether small orders make money
- Outside services (stripping, grinding, shot peen, bake) need to be priced as separate steps
The Inputs a Finishing Quote Needs
Before a number is credible, the estimator needs a consistent set of facts for each line item. Missing any of them is how a quote ends up under water after the job runs. Capture them in a form, in the ERP, or in a quoting add-on, but capture them the same way every time so past jobs can be compared.
- Part number, revision, base material and quantity per release
- Governing spec and class or type (for example MIL-A-8625 Type II Class 2, AMS 2404 electroless nickel, AMS 2700 passivation)
- Surface area per piece and which areas are significant surface versus masked
- Pieces per rack or barrel load, and whether racking is custom
- Required testing: thickness, adhesion, salt spray, hardness, with frequency per lot
- Packaging, certification and delivery requirements
Using Past Jobs Instead of Guessing
The most accurate input for a repeat or similar part is what the shop actually did last time: how many pieces per rack, how long the line ran, how much rework occurred and what the job cost against what it billed. That data lives in the ERP or job-costing system (E2, JobBOSS, Global Shop, NetSuite, Epicor, SyteLine or a custom system) and in travelers. The problem is that it is rarely indexed by spec and geometry, so estimators cannot search it.
Even a simple rule helps: when quoting a new part, pull the three most recent jobs on the same spec and base material and compare their yield per rack to your assumption.
Try it here, free
Plating Job Quote and Pricing Worksheet
Quote multiple plating or anodize line items with computed metal cost, labor, setup, margin and unit price, then export to Excel.
Where AI Helps and Where It Should Not
AI is useful in the reading and matching steps. A model running over your documents can read the customer PO or RFQ, extract the spec callouts and quantities, find similar historical jobs and draft a line-item quote with the assumptions listed. The estimator then confirms the loading assumption, adjusts for current bath conditions and approves the price.
AI should not set final price on its own, change a quote after approval or write into the ERP without a human check. If you handle controlled technical data, the model should run on your own hardware so drawings never leave your network.
When This Is Not Worth Building
If you quote fewer than roughly thirty custom jobs a month, most of your work repeats on fixed price lists, or your customers send the same five spec families, a well-kept price matrix in your ERP or even a spreadsheet with a loading table is enough. Automation pays when you have many one-off RFQs with different specs, more than one estimator, and quote turnaround that costs you wins. Fix the price matrix first; automate the intake after.
Frequently asked questions
How do plating shops usually price jobs?
Most price per piece, per square foot or square decimeter, per rack or per pound, with a minimum lot charge, plus add-ons for masking, testing, certification and rush. The right method depends on the part: small high-volume parts suit barrel pricing by weight, while large or delicate parts suit rack or area pricing. Whatever the method, it should be checked against actual cost per load.
Can ERP software handle plating job quoting?
Many job shop ERPs can store routings, price breaks and minimums, but few model rack loading or tank time natively. Shops often add a spreadsheet or custom fields for area and parts per rack. Check whether your ERP lets you attach a spec library and capture actual rack yield against each job so the next quote improves.
Can AI read a customer PO and draft a plating quote?
Yes, as a drafting step. A model can extract spec callouts, quantities, due dates and special requirements from a PO or drawing and match them to prior jobs. A person should confirm loading, process route and price before it goes out. Treat it as a faster first draft, not an autonomous quoting system.
If your estimators retype specs from POs and hunt through old travelers for comparable jobs, Netray can show a private drafting agent working over your own quotes and ERP history.