Partimation

Solutions

No defensible number behind the price — Partimation

A quote nobody can take apart is a quote nobody can defend. Partimation builds the price as an itemized ledger where every cost line traces to a named rate, posture setting, or engine rule — and every estimate carries a confidence band that states which of four bases it rests on.

Where it shows up

You know the number. You can't show the work.

The customer asks why, and you rebuild the quote to answer

A buyer pushes back on a price and the only thing on the page is a total. Somebody opens the spreadsheet, rebuilds the takeoff from scratch, and hopes it lands where it landed three weeks ago.

Two estimators, same part, two numbers

The same job priced by two people comes back different, and neither can point at the line that differs. Consistency is whoever happened to build the quote that day.

Nobody can say how sure the number is

A price goes out with nothing stated about what it rests on — a published average, your own job history, or a rule — so nobody knows which quotes deserved a second look before they were sent.

Tooling sits on the quote as a lump the buyer won't accept

The tool cost is one line with a story attached. The buyer can't check it, so they treat the whole quote as padded and open the negotiation on the part price instead.

What it costs

What an unexplainable number costs you

Margin, from both directions at once. A price you can't take apart gets discounted to keep the customer, or held and lost to a shop that could show its work. The jobs won on a gut number are the same jobs that come back as the ones run at a loss, and nothing in the quote told you which was which until the actuals landed. In between, an estimator's afternoon goes into rebuilding a takeoff that already exists — and the argument with the buyer still ends up being your word against theirs.

How it plays out

Build the number so it comes apart.

01

Price the whole job off one cost model

Rates, station posture, setup, and tooling amortization are computed the same way whether the job gets milled, welded, printed, or cast, and every cost line traces back to a named rate, a posture setting, or a rule in the engine — never an opaque total. Every estimate carries a confidence value that names its basis: a published prior, a calibration off your own actuals, a deterministic rule, or a flag that it needs human review. CostDFM.

02

Make every step of the route name its own rule

The route is built out in full — tooling, forming, degating and fettling, heat treatment, machining, finishing, and the inter-department handling and queue time estimates usually leave off — then ranked cheapest, quickest, and fewest-steps, with each step naming the rule that put it there. RouteDFM.

03

Amortize the tool instead of quoting a lump

Dies, molds, patterns, and core boxes price off one shared block-and-machining model, and the amortization is spread into the per-piece curve rather than dropped on the quote as a single number the buyer has to take on faith. ToolDFM.

04

Show the quantity where a different method wins

A should-cost curve at every quantity, plus the exact crossover quantity where one manufacturing method gets cheaper than another — closed-form, not eyeballed off a chart. A buyer arguing about price is usually arguing about quantity, and that is a conversation you can win with a curve. ProcessDFM.

Already shipped

Four bases, named on the quote — including the one that says ask a person.

A confidence number on its own is decoration. Partimation states which of four things every result rests on: a published prior, a calibration built from your own shop's actuals, a deterministic rule, or a flag that the result needs human review. Reading the basis tells you what to do next — a deterministic rule needs no second opinion, and a needs-human-review flag is where an estimator's remaining time actually belongs. Suggest a correction on a cost line when the job runs, and the bands tighten around your own performance instead of a published average.

Itemized cost ledger traced to a named rate or rule

Built into CostDFM.

Confidence bands with a named basis on every quote

Built into CostDFM.

Full manufacturing route builder, ranked

Built into RouteDFM.

Shared tool-cost model across dies, molds, patterns, core boxes

Built into ToolDFM.

Should-cost curves with an exact process-crossover quantity

Built into ProcessDFM.

See it for your team

Walkthroughs for this

FAQ

Frequently asked questions

How do I defend a price to a customer who says it's too high?

Hand over the ledger. Every cost line traces to a named rate, a posture setting, or a rule in the engine, so the conversation moves off your word against theirs and onto a rate they can check and a quantity break they can read for themselves. Where a line rests on a published prior rather than your own recorded actuals, the quote says so rather than hiding it.

Why do two estimators here price the same part differently?

Because each spreadsheet encodes a different set of assumptions and none of them are written down anywhere. One cost model across every process produces the same lines whoever runs the job, and where two quotes still differ, the difference shows up as a named line rather than a different total. A disagreement you can point at is a disagreement you can settle.

What should I check before I trust a number enough to send it?

Read the basis on the confidence band before anything else. Four are possible: a published prior, a calibration built from your own shop's actuals, a deterministic rule, or a flag that the number needs human review. A deterministic rule needs no second opinion. A needs-human-review flag is exactly where the last half hour before the quote goes out belongs.

How do I answer a buyer who thinks the tooling line is padded?

Show them the tool priced by the same block-and-machining model used for dies, molds, patterns, and core boxes, then amortized into the per-piece curve rather than dropped on the quote as a lump sum. A buyer arguing about tooling is usually arguing about quantity, and the should-cost curve moves that argument onto the quantity where the tool actually pays back.

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