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Procurement Glossary
Should-Cost Library: Systematic Cost Analysis for Strategic Procurement
March 30, 2026
A Should-Cost Library is a systematic tool for cost analysis in strategic procurement that provides buyers with a sound data foundation for negotiations and supplier evaluations. This structured collection of cost benchmarks and models enables companies to define realistic target prices and assess cost structures transparently. Below, you will learn what characterizes a Should-Cost Library, which methods are used, and how you can strategically leverage it for your procurement success.
Key Facts
- Systematic collection of cost benchmarks and pricing models for various categories
- Enables data-driven negotiations through transparent cost driver analysis
- Supports strategic supplier evaluation and make-or-buy decisions
- Significantly reduces information asymmetries between procurement and suppliers
- Basis for continuous cost optimization and price validation
Content
Definition: Should-Cost Library
A Should-Cost Library is a structured database that contains detailed cost models and price benchmarks for various products and services.
Core components of a Should-Cost Library
The key components include material costs, manufacturing costs, overhead costs, and profit margins. These components are systematically recorded and regularly updated to reflect current market conditions.
- Raw material and material prices by region and quality
- Production times and labor costs for different manufacturing processes
- Overhead factors and industry-specific surcharges
- Standard market profit margins by product category
Should-Cost Library vs. traditional price comparisons
Unlike simple price comparisons, a Should-Cost Library systematically analyzes the underlying cost drivers. While traditional approaches only consider final prices, the Total Cost Breakdown Tree methodology enables a detailed breakdown of all cost components.
Importance of the Should-Cost Library in procurement
For strategic sourcing decisions, the Should-Cost Library forms the foundation of data-driven negotiations. It supports the Category Strategy through transparent cost structures and enables well-founded make-or-buy analyses.
Methods and approaches
Developing a Should-Cost Library requires systematic data collection and continuous maintenance through structured analysis methods.
Data collection and cost modeling
The foundation is a comprehensive market analysis using various data sources. Internal cost data is combined with external benchmarks to develop realistic cost models.
- Supplier surveys and cost breakdowns
- Market price analyses and industry studies
- Reverse engineering and product analyses
- Historical cost data and trend analyses
Implementation and structuring
Systematic structuring is carried out according to Category Hierarchy and levels of complexity. Standardized templates and evaluation criteria are developed to ensure consistent application.
Validation and updating
Regular validation through market comparisons and supplier feedback ensures the data remains up to date. The Sourcing Strategy is continuously adapted to new insights.
Key KPIs for Should-Cost Libraries
Measuring the success of a Should-Cost Library requires specific metrics that assess both data quality and business value.
Accuracy and reliability
The deviation between forecast Should-Costs and actual market prices measures model accuracy. A deviation below 10% is considered a target value for established categories.
- Average deviation of Should-Cost versus market price
- Accuracy rate of price forecasts
- Validation rate based on supplier data
Usage and application
The frequency of use in procurement processes and the coverage of different categories demonstrate practical relevance. Integration into Procurement Portfolio Analysis strengthens its strategic value.
Business value
Cost savings through improved negotiating positions and optimized supplier selection demonstrate the ROI of the Should-Cost Library. Shorter procurement cycles based on sound decision-making foundations further increase efficiency.
Risk factors and controls in Should-Cost Libraries
The implementation and use of Should-Cost Libraries involve specific risks that must be minimized through suitable control mechanisms.
Data quality and timeliness
Outdated or inaccurate data can lead to incorrect cost assessments and suboptimal procurement decisions. Regular validation and systematic data updates are essential for reliability.
- Establishing fixed update cycles
- Multiple validation through different data sources
- Continuous plausibility checks
Overdependence on models
An excessive focus on Should-Cost models can limit flexibility in negotiations. Complexity Reduction must not lead to an oversimplification of complex market dynamics.
Confidentiality and data protection
Sensitive cost data requires appropriate security measures and access controls. Sharing information with suppliers must be carefully weighed in order to preserve competitive advantages and strengthen Category Governance.
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Practical example
An automotive supplier develops a Should-Cost Library for electronic components. Through systematic analysis of semiconductor prices, manufacturing costs, and logistics expenses, the company creates detailed cost models for various component categories. In a tender for control units, procurement uses this data to identify unrealistic bids and conduct targeted negotiations. The result: 15% cost savings compared with the originally best bid through well-founded arguments based on cost driver analyses.
- Systematic data collection from market and supplier sources
- Development of standardized cost models by component category
- Integration into tendering processes for data-based evaluation
Current developments and impacts
Digitalization and artificial intelligence are revolutionizing the development and use of Should-Cost Libraries in modern procurement.
AI-supported cost modeling
Artificial intelligence enables automated data analysis and pattern recognition in complex cost structures. Machine learning algorithms identify cost drivers and forecast price developments with greater accuracy.
- Automated data collection from various sources
- Predictive analytics for cost forecasting
- Real-time updates through continuous market monitoring
Integration into digital procurement platforms
Modern e-procurement systems integrate Should-Cost Libraries directly into tendering and negotiation processes. This enables seamless use during the Sourcing Pipeline and significantly improves decision quality.
Sustainability and ESG factors
Sustainability costs and ESG criteria are increasingly being integrated into Should-Cost Libraries. This development reflects the growing importance of sustainable procurement and regulatory requirements.
Conclusion
Should-Cost Libraries are an indispensable tool for strategic procurement, creating significant competitive advantages through systematic cost analysis and data-driven decision-making. The integration of AI technologies and digital platforms increases their effectiveness and enables more precise cost forecasts. Successful implementation, however, requires continuous data maintenance, adequate resources, and strategic integration into the procurement organization. Companies that use Should-Cost Libraries professionally demonstrably achieve better negotiation outcomes and sustainably optimize their cost structures.
FAQ
What distinguishes a Should-Cost Library from simple price lists?
A Should-Cost Library systematically analyzes the underlying cost drivers, whereas price lists only capture final prices. It provides detailed breakdowns of material, manufacturing, and overhead costs, thereby enabling well-founded negotiation arguments and realistic target price definitions.
How often should Should-Cost data be updated?
The update frequency depends on market dynamics. Volatile markets require monthly updates, while stable categories can be updated quarterly. Critical cost drivers such as raw material prices should be continuously monitored and adjusted immediately in the event of significant changes.
Which data sources are most valuable for Should-Cost Libraries?
The most valuable sources combine internal experience with external market data. Supplier cost breakdowns, industry studies, raw material price indices, and in-house reverse engineering analyses form the foundation. External consulting firms and industry associations provide additional benchmarks and validation options.
How can the ROI of a Should-Cost Library be measured?
ROI is measured through direct cost savings, improved negotiation outcomes, and reduced procurement cycles. Typical metrics include the percentage cost reduction in renegotiations, the accuracy of cost forecasts, and the time saved in supplier evaluations. An ROI of 300-500% is realistic with professional implementation.
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