Procurement Glossary
Material number system: Systematic material identification in Procurement
November 19, 2025
A material number system forms the backbone of materials management and enables the unique identification of all items in the company. This systematic coding creates transparency in procurement and optimizes warehousing and ordering processes. Learn how material number systems work, what methods are available, and how to implement them successfully.
Key Facts
- Unique identification of all materials through systematic numbering
- Basis for efficient ERP systems and automated procurement processes
- Reduces duplicates and improves data quality in the material master
- Enables precise cost analysis and spend transparency
- Supports compliance requirements and traceability
Contents
Definition: Material number system
A material numbering system is a structured method for uniquely identifying materials, products, and items within a company.
Basic properties
The system is based on alphanumeric codes that give each material a unique identity. These numbers follow defined rules and can have both descriptive and neutral structures.
- Uniqueness: Each number exists only once
- Systematics: Logical structure rules and hierarchies
- Extensibility: Flexibility for new material groups
- Integration: Compatibility with ERP and master data governance systems
Material number system vs. item number
While item numbers are often manufacturer-specific, internal material numbers create a uniform system. The manufacturer part number is maintained as an additional attribute, but the internal number remains the primary identifier.
Importance in Procurement
Material numbering systems enable precise demand planning and support material classification. They form the basis for spend analytics and improve the negotiating position through consolidated volumes.
Methods and procedures for material numbering systems
The implementation of a material numbering system requires structured approaches and proven methods for sustainable implementation.
Talking vs. neutral numbering
Talking systems contain information about material groups or properties directly in the number. Neutral systems use consecutive numbers without any meaning in terms of content.
- Speaking: Better recognizability, but less flexible
- Neutral: Greater flexibility, but requires additional attributes
- Hybrid: Combination of both approaches depending on the material group
Implementation strategy
Successful implementation begins with analyzing existing structures and defining clear rules. The material group hierarchy forms the basis for the classification system.
Data quality and maintenance
Continuous attribute maintenance in the material master ensures system integrity. Duplicate detection and regular cleanups prevent redundancies and inconsistencies.

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Key figures for controlling
Effective key figures enable continuous monitoring and optimization of material number systems.
Quality indicators
The data quality score measures the completeness and accuracy of the material master data. In addition, the classification rate shows the proportion of correctly assigned materials.
- Completeness of mandatory fields
- Duplicate frequency per material group
- Validation error rate for new systems
Efficiency and utilization metrics
The degree of standardization shows the consolidation of similar materials. This key figure correlates directly with potential savings and negotiating power.
Governance indicators
Regular data quality reports document improvements and identify areas for action. The response time to data requests reflects system efficiency.
Risk factors and controls in the material number system
Inadequate planning and poor governance can significantly impair the effectiveness of material numbering systems.
Systemic risks
Inconsistent numbering rules lead to chaos in the material master. A lack of master data governance exacerbates this problem and makes subsequent corrections more difficult.
- Duplicates due to uncoordinated creation
- Inconsistent attribution
- Missing validation rules
Data quality risks
Poor data quality impairs analyses and decisions. Without continuous monitoring using data quality KPIs, system quality gradually deteriorates.
Compliance and security
Incomplete material information jeopardizes material compliance and regulatory requirements. Lack of traceability can lead to legal problems and reputational damage.
Practical example
A mechanical engineering company implements a hybrid material numbering system for 50,000 items. Mechanical components are given descriptive numbers (M-001-0001), while consumables are given neutral numbers (V-100001). Integration with the ERP system enables automatic order proposals based on consumption patterns.
- Reduction of duplicates by 85% within 12 months
- Improvement in order accuracy to 98.5%
- Savings of 12% through better volume bundling
Current developments and effects
Modern technologies are revolutionizing traditional material numbering systems and creating new opportunities for intelligent materials management.
AI-supported classification
Artificial intelligence automates material allocation and reduces manual errors. Automatic dispensing classification recognizes patterns and suggests optimal numbering.
- Machine learning for material recognition
- Automatic suggestions for new numbers
- Intelligent duplicate detection
Standardization and interoperability
Global standards such as UNSPSC and eCl@ss are gaining in importance. These enable cross-industry compatibility and simplify data exchange between companies.
Cloud-based solutions
Modern data lake architectures integrate material data from various sources. This enables comprehensive analyses and improves the basis for strategic procurement decisions.
Conclusion
Material numbering systems form the foundation of modern procurement organizations and enable data-driven decisions. Choosing the right system and continuously maintaining data quality are crucial for success. Modern technologies such as AI and cloud solutions open up new opportunities for intelligent materials management and strategic procurement optimization.
FAQ
What is the difference between a material number and an item number?
The material number is an internal, company-specific identifier, while item numbers often originate from the manufacturer. Material numbers follow uniform rules and enable better control over the material master.
How do I choose between talking and neutral numbering?
Talking systems are suitable for stable material structures with clear categories. Neutral systems offer more flexibility for frequent changes or complex product portfolios. Hybrid approaches combine both advantages.
What role does data quality play in material numbering systems?
High data quality is essential for effective systems. Incomplete or incorrect data leads to inaccurate analyses, duplicates, and inefficient procurement processes. Regular cleansing and validation are therefore indispensable.
How do modern technologies support materials management?
AI-based tools automate classification and duplicate detection. Cloud solutions enable real-time analysis and improve collaboration. Standardized interfaces facilitate data exchange with suppliers and partners.



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