This paper explores methods of developing “should-cost” models that help engineering teams estimate and control product costs during development. HCLTech highlights techniques such as parametric modeling, regression analysis, and AI-based benchmarking. The document emphasizes early cost visibility, supplier collaboration, and risk reduction. The should-cost approach drives informed decision-making, enabling cost optimization, faster development, and improved profitability.

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