You can’t negotiate what you can’t explain.
If your team is still building should-cost models part by part, in spreadsheets or one-off tools, you already know the problem: engineering is moving faster than cost analysis, suppliers are repricing before you have leverage, and by the time procurement engages, design and sourcing decisions have already fixed most of the cost.
This isn’t a skills issue. It’s a scale issue.
Modern manufacturing has outgrown traditional costing approaches—and the gap between how cost should be managed and how it actually is managed is widening.
The Reality Procurement Teams Are Living With
Manufacturers today face a convergence of pressures that directly impact cost, margin, and resilience:
- Tariffs shift with political cycles and trade realignments
- Carbon regulations increasingly convert emissions into direct cost
- Logistics volatility and geopolitical risk disrupt landed cost assumptions
- Product complexity continues to rise, especially with electronics and multi-tier supplier networks
These forces are not isolated. They interact, amplify one another, and change faster than most sourcing cycles.
Yet many organizations are still relying on costing approaches designed for a more stable world—static models, manual workflows, and limited coverage across the portfolio.
The result is predictable: procurement is forced into a reactive posture, negotiating price increases after the fact instead of shaping outcomes earlier.
Why Should-Cost Breaks Down at Scale
Should-cost analysis remains a powerful concept. In theory, it establishes a fact-based benchmark that supports negotiation, design decisions, and supplier selection.
In practice, most manufacturers only apply should-cost to a small fraction of their spend—often a few dozen high-value parts per year.
The reasons are structural, not philosophical:
- Manual effort doesn’t scale. Traditional models take hours or days per part, limiting coverage by definition.
- Data is incomplete. CAD files may be missing, supplier-designed parts lack transparency, and early designs are rarely finalized.
- Models are too static. Tariffs, labor rates, logistics costs, and compliance risks are often excluded or updated infrequently.
- Precision replaces relevance. Highly detailed models can still miss the economic realities that actually drive supplier pricing.
The net effect is a massive blind spot. The majority of parts go uncosted, leaving procurement without leverage in negotiations and engineering without economic feedback during design.
Why Early Cost Visibility Matters More Than Ever
When cost insight arrives late, leverage is already lost.
Supplier terms are set before procurement can challenge assumptions. Design decisions proceed without understanding financial impact. And once sourcing decisions are locked, options narrow quickly.
Research consistently shows that roughly 80% of a product’s cost—and carbon footprint—is determined during the design phase. After that point, changes become exponentially more expensive.
In today’s environment, where cost drivers evolve continuously, relying on point-in-time analysis is no longer sufficient. Cost visibility must arrive earlier, refresh faster, and extend across far more of the portfolio.
The Shift: From “Should-Cost” to Cost Options
Leading manufacturers are moving beyond should-cost as a negotiation tool and toward cost modeling as a strategic capability.
That shift expands the question from “What should this part cost?” to:
- What could this part cost if design, process, or sourcing assumptions changed?
- What is the best cost when risk, tariffs, logistics, and sustainability are considered alongside price?
This progression reframes costing from a retrospective exercise into a forward-looking decision engine—one that informs design tradeoffs, sourcing strategies, and supplier mix decisions in real time.
Crucially, modern approaches can operate even when data is incomplete, extracting cost drivers from drawings, PDFs, images, or early-stage designs. That allows cost insight to keep pace with engineering and sourcing instead of lagging behind them.
What Procurement Leaders Can Do Now
Cost clarity at scale doesn’t require boiling the ocean. It requires changing how and where cost insight is applied.
Here are four practical moves procurement leaders can make:
- Prioritize exposure, not just spend Focus cost modeling on parts and categories where volatility—tariffs, logistics, supplier leverage, or regulation—creates outsized risk, not just high dollar value.
- Standardize a minimum viable input Stop waiting for perfect data. Define what inputs are “good enough” to generate directional cost insight early—CAD when available, drawings or specifications when not.
- Require alternatives, not just benchmarks For priority parts, insist on at least one alternative scenario: different material, process, region, or supplier strategy. This is where leverage and resilience are created.
- Produce negotiation-ready cost briefs Cost insight only matters if it’s usable. Output should clearly show cost drivers, assumptions, sensitivities, and levers—not just a final number.
These steps move costing from a specialized activity performed on a few parts to a repeatable capability that shapes decisions across the portfolio.
The New Imperative for Manufacturing Procurement
In volatile markets, procurement teams that rely on static costing will always be reacting. Those that embed cost clarity into design, sourcing, and supplier strategy gain the ability to anticipate change and act before margins erode.
Cost clarity at scale is no longer a “nice to have.” It is the foundation for speed, resilience, and sustained savings in modern manufacturing.
Coming next:
In our next Blog, we’ll explore the complexity multiplier—how tariffs, carbon costs, and supply chain risk interact to reshape total cost, and why resilience now depends on modeling exposure, not just price.
