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Procurement teams sit at the center of one of the toughest challenges in manufacturing.
They need to control costs, maintain supplier relationships, and still secure competitive pricing in a market where raw material prices, labor rates, and logistics costs keep changing.
Now here’s the problem.
Most negotiations still start with a supplier quote and end with a percentage discount discussion.
But smart procurement teams approach negotiations very differently.
They walk into discussions already knowing what the product should actually cost to manufacture.
That approach is called should costing, and it has quietly become one of the most powerful tools in modern procurement.
Let’s break down how it works and why companies are relying on it more than ever.
What Is a Should Cost Model?
A should cost model estimates the true cost required to manufacture a product or component.
Instead of relying only on supplier quotes, procurement teams calculate the expected cost based on real production factors such as:
Raw material cost
Manufacturing processes
Machine cycle time
Labor cost
Overheads and profit margins
When all of these inputs are combined, the result is a data-driven estimate of what the part should cost.
This creates a powerful reference point during supplier negotiations.
Instead of asking a supplier to simply reduce their price, procurement teams can ask a much stronger question:
Why is this part priced higher than the actual manufacturing cost?
That single shift completely changes the dynamic of the negotiation.
Why Traditional Supplier Negotiation Often Fails
In many organizations, negotiations still follow a predictable pattern.
The supplier provides a quote.
Procurement asks for a discount.
The supplier pushes back.
Eventually both sides settle somewhere in the middle.
The issue with this approach is simple.
Neither side is working with real cost visibility.
Without cost transparency, negotiations become guesswork.
Suppliers protect their margins, and procurement teams struggle to challenge pricing effectively.
This is where should cost models make a massive difference.
How Should Costing Changes Procurement Negotiations
When procurement teams use should cost analysis, the conversation becomes fact-based instead of opinion-based.
Let’s look at what actually changes.
1. Procurement Teams Gain Cost Transparency
Should cost models break down the entire manufacturing cost structure.
This includes material costs, machining time, tooling expenses, and factory overhead.
With this level of visibility, procurement teams can identify areas where supplier pricing may be inflated.
For example:
Excess material markup
Higher than expected process costs
Unnecessary manufacturing steps
Instead of questioning the final price, procurement teams can now discuss specific cost drivers.
That leads to much more productive conversations with suppliers.
2. Negotiations Become Data-Driven
Imagine negotiating without knowing the true cost of the part.
Now imagine walking into that same negotiation with a complete cost breakdown.
The difference is huge.
Should cost models allow procurement teams to say things like:
The raw material cost should be around this range
The machining cycle time typically takes this long
Similar suppliers produce this part at this cost level
Suddenly, negotiations are backed by data instead of assumptions.
Suppliers are far more likely to reconsider their pricing when presented with credible cost insights.
3. Procurement Can Identify Cost Reduction Opportunities
Should costing is not just about pushing prices down.
In many cases, the analysis reveals opportunities to optimize the product design or manufacturing process.
For example:
Switching to a different manufacturing method
Adjusting material specifications
Improving production efficiency
When procurement teams bring these insights to suppliers, negotiations shift from confrontation to collaboration.
Both sides work together to reduce cost rather than simply arguing over price.
4. Stronger Supplier Benchmarking
Should cost models also help procurement teams benchmark supplier quotes across the market.
If three suppliers quote very different prices for the same component, should cost analysis helps identify which quote aligns closest to the realistic production cost.
This prevents situations where companies unknowingly overpay for components simply because they lack cost visibility.
nspection, the software can alert the team to a potential oversight before the quote is sent.
Real Impact of Should Costing in Procurement
Organizations that implement should cost analysis often see measurable improvements in procurement performance.
Some common results include:
Better supplier price negotiations
Improved cost transparency across the supply chain
Faster sourcing decisions
More effective supplier benchmarking
In industries like automotive and manufacturing, where components can number in the thousands, even small cost improvements per part can translate into millions in savings.
That’s why should costing is becoming a core capability for modern procurement teams.
The Growing Role of AI in Should Cost Analysis
Traditionally, building should cost models required deep engineering expertise and a lot of manual calculations.
Today, advanced technologies are transforming the process.
Artificial intelligence and data analytics can now analyze large volumes of manufacturing data to estimate costs more quickly and accurately.
AI-driven costing platforms can:
Predict manufacturing costs from CAD or BOM data
Benchmark supplier quotes instantly
Identify cost reduction opportunities automatically
This allows procurement teams to move from reactive negotiations to proactive cost management.
Key Takeaways for Procurement Leaders
Should costing is no longer just a niche engineering practice.
It has become a strategic tool for procurement teams that want to negotiate smarter and control supply chain costs.
Here’s what this really means:
Procurement decisions become data-driven
Supplier negotiations shift from price pressure to cost transparency
Organizations gain stronger control over product and component costs
Companies that understand their product costs will always have an advantage in supplier negotiations.
And as supply chains become more complex, that advantage only becomes more valuable.
Final Thoughts
Supplier negotiations will always be a critical part of procurement.
But the most successful procurement teams don’t rely on negotiation tactics alone.
They rely on data, cost transparency, and deep cost insights.
Should cost models provide exactly that.
By understanding what a product should cost to manufacture, procurement teams can negotiate with confidence, build stronger supplier partnerships, and unlock significant cost savings across the supply chain.
FAQs
What is a should cost model in procurement?
A should cost model is a cost estimation method used by procurement teams to determine what a product or component should realistically cost to manufacture. It analyzes factors like raw material prices, manufacturing processes, labor, overhead, and supplier margins to create a data-driven cost estimate.
Why do procurement teams use should cost models?
Procurement teams use should cost models to gain cost transparency and negotiate better prices with suppliers. By understanding the actual cost structure of a product, buyers can identify inflated pricing, benchmark supplier quotes, and negotiate using data rather than assumptions.
How does should costing improve supplier negotiations?
Should costing improves negotiations by providing procurement teams with detailed cost insights. Instead of asking for a general discount, buyers can discuss specific cost drivers such as material cost, machining time, or production processes, which leads to more effective and fair negotiations.
What industries commonly use should cost analysis?
Should cost analysis is widely used in industries with complex supply chains and high component volumes, such as automotive, aerospace, electronics, heavy engineering, and industrial manufacturing.
What data is required to build a should cost model?
To build a should cost model, procurement and cost engineering teams typically analyze raw material prices, manufacturing processes, machine cycle time, labor rates, tooling costs, overhead expenses, and expected supplier margins.
Can AI improve should cost modeling in procurement?
Yes. AI-powered costing tools can analyze large datasets, manufacturing parameters, and supplier information to generate faster and more accurate cost estimates. This helps procurement teams make better sourcing decisions and negotiate more effectively.
