We decompose products to their atomic cost drivers—material, machine time, labor, and overhead—so you negotiate with data, not hope.
We Give You the Numbers to Win.
We deconstruct every cent of your product's manufacturing lifecycle using global benchmarks and engineering first principles.
DFM review, weight calculation, and tolerance check to determine feasibility.
Optimal machine selection, cycle time estimation, and setup time calculation.
Applying local material rates, energy costs, and labor rates for the target manufacturing region.
Factoring in factory overheads, SG&A, and a reasonable profit margin.
Calculation of Ex-works price, logistics add-ons, and total landed cost.
Should Costing is a rigorous, component-level cost buildup that calculates what a part should cost based on physics and economics, not just market pricing.
Market rates, scrap factors, yield losses, and process time × regional labor rates.
Cycle time × equipment hourly rates and one-time tool cost amortization.
Realistic allocations (not supplier guesses) and industry-standard margin targets.
A complete cost breakdown—down to the penny.
Applied intelligence for every stage of the product lifecycle.
Bottom-up costing for negotiation leverage against supplier quotes.
Comparing effectively paid prices vs. calculated should costs to spot gaps.
Cost reduction via design optimization without compromising functionality.
Comparing capabilities and cost structures of multiple suppliers across regions.
ROI analysis to determine whether to manufacture in-house or outsource.
Precise costing for molds, dies, and fixtures to avoid overpayment.
Scenario
"You receive quotes from 3 suppliers. Prices vary by 40%."
Confident supplier selection + 15-25% cost reduction
Scenario
"Your CFO mandates 10% cost reduction across all purchased parts."
Data-backed cost reduction without sacrificing quality
Scenario
"Your team debates whether to make a component in-house or buy it."
ROI-based decision (not politics)
Scenario
"Engineering hands you a design. You need target cost before quoting."
Hit cost targets from Day 1
Scenario
"Engineering proposes a design change. Supplier quotes 50% cost increase."
Informed decision—accept, reject, or redesign
Systematic approach to improving product value by analyzing function vs. cost.
Optimize designs to reduce manufacturing complexity.
Design process driven by target cost constraints.
Automotive OEM reduced spend on die-cast parts by 18% using our bottom-up model.
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