The Future of Should-Costing: A Practical Path to AI-Driven Cost Intelligence

In manufacturing, the journey to AI doesn’t begin with complex technology—it begins with Excel sheets. Most teams still rely on spreadsheets to estimate and compare the true cost of mechanical components. They work, but as product complexity grows and cost pressure increases, Excel alone starts to show its limits.

AI offers a smarter way forward—without disrupting what already works. By building on existing Excel-based should-cost models, AI can uncover hidden cost drivers, compare similar components instantly, and bring consistency across programs and suppliers. What once took days of manual effort can be done in minutes, with greater confidence and clarity.

The challenge isn’t the technology—it’s adoption. Manufacturers need solutions that fit real workflows, explain the “why” behind the numbers, and grow alongside their teams. That’s why the most successful AI strategies are gradual: standardize today’s spreadsheets, digitize cost logic, and introduce AI as a decision-support tool—not a black box.

The result? Faster sourcing decisions, stronger negotiations, and a clear path from spreadsheets to scalable cost intelligence. AI in should-costing isn’t about replacing experience—it’s about amplifying it.

Ready to move along and beyond spreadsheets?
Start your AI journey where you are. Create and refine your Excel models today with us and take the first step toward smarter, scalable should-costing. Let us help you with our hands on experience in should costing of thousands plus components and assemblies.