ThinkWithPrompt by SynotticThinkWithPrompt

Build a should-cost model for a purchased part

A bottom-up estimate of what a part should cost to make, used to challenge supplier quotes with facts.

Finance & AccountingFew-ShotStandardFinanceFill-in Template

The prompt

Help me build a should-cost model for a part I buy, so I can challenge the supplier's price. Part description: [WHAT IT IS, DRAWING DETAILS, DIMENSIONS, TOLERANCES, FINISH] Material: [TYPE, GRADE, GROSS WEIGHT INCLUDING SCRAP, CURRENT PRICE PER KG OR UNIT] Likely manufacturing process: [e.g. stamping, CNC machining, injection molding, assembly - steps if known] Supplier location: [COUNTRY OR REGION - affects labor and overhead rates] Annual volume and batch size: [UNITS] Current quote: [PRICE, AND ANY BREAKDOWN THEY PROVIDED] Rates I have: [LABOR RATE, MACHINE HOUR RATE, OVERHEAD %, MARGIN - or "unknown"] Build the model in layers: 1. Material: net and gross weight, scrap or yield loss, material price. 2. Process: each operation with cycle time, machine rate, labor content, setup time amortized over batch size. 3. Tooling amortization, if any. 4. Overhead, SG&A, and a reasonable margin range. 5. Packaging and freight to our Incoterm. Rules: use my rates where given. Where I don't have one, show the formula and mark the input [ESTIMATE - VALIDATE], never present a guessed rate as fact. Show every calculation so I can change inputs. Return: 1. A cost breakdown table: Element | Basis | Calculation | Cost per unit. 2. Should-cost vs. quote, and the elements most likely driving any gap. 3. The 3 inputs the result is most sensitive to. 4. Fact-based questions to ask the supplier in negotiation (e.g. cycle time, scrap rate, material price basis).

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • WHAT IT IS, DRAWING DETAILS, DIMENSIONS, TOLERANCES, FINISH
  • COUNTRY OR REGION - affects labor and overhead rates
  • UNITS
  • PRICE, AND ANY BREAKDOWN THEY PROVIDED
  • ESTIMATE - VALIDATE

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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