Artikelstammdaten
Also: Artikelstamm, Stammdaten Artikel, Artikelbasisdaten, Item Master Data, Produktstammdaten
AI-generated
Item master data refers to the permanently valid base data of an item – such as dimensions, weight, packaging units, hazardous goods classification, and best-before date relevance. It forms the foundation for all logistical, procurement-related, and system-driven processes along the supply chain.
Key facts
- Item master data describes an item on a permanent basis and must be clearly distinguished from transactional data.
- Complete and accurate master data is a prerequisite for error-free storage location assignment, picking, and system integration.
- Missing or inconsistent master data is a common cause of process errors at system interfaces between ERP, WMS, and TMS.
- A clearly defined responsibility (data owner) and change process should be established for every master data attribute.
What is item master data?
Item master data encompasses all structured, permanently valid information that uniquely describes an item and distinguishes it from other items. Typical attributes include item number, item description, physical dimensions (length, width, height, weight), packaging units (e.g. sales unit, secondary packaging, pallet), hazardous goods classification, and whether the item is subject to a best-before date requirement. Classification features such as product group or ABC class, as well as storage condition specifications, are also commonly included.
Item master data must be distinguished from transactional data: whereas transactional data (e.g. stock levels, goods receipt postings) is dynamic and subject to change, master data describes the item itself – independently of any current business transaction.
Practical significance
In intralogistics, item master data is a prerequisite for virtually every process step. Warehouse planning requires dimensions and weights in order to assign storage locations and correctly configure shelves and racking systems. Picking systems draw on packaging units to calculate pick quantities. Hazardous goods attributes control storage zone assignments and transport documents. Items subject to best-before date requirements necessitate FEFO (First Expired, First Out) management in the warehouse.
Complete master data is equally indispensable for procurement and inventory management: supplier connections, pricing conditions, and minimum order quantities can only be accurately mapped if the item itself is clearly defined. At the system level, item master data serves as the bridge between ERP, WMS, and TMS – interface errors frequently arise when the same attributes are maintained differently across different systems.
What matters for quality and maintenance?
The data quality of item master data is a critical bottleneck factor in practice. Common issues include missing mandatory fields, inconsistent units (e.g. weight recorded in kilograms in one place and grams in another), or outdated dimensions following a supplier change. The following approaches are therefore recommended:
- Defining mandatory attributes that must be complete before an item can be created.
- A clearly defined change process that involves all affected systems and departments.
- Regular data quality checks, ideally automated via plausibility rules in the ERP or MDM system.
- A clearly assigned responsibility (data owner) for master data maintenance.
Whether master data is managed centrally in a Master Data Management (MDM) system or directly in the ERP depends on the system landscape and organisational structure – there is no universally correct answer. What is critical is that there are no competing, uncontrolled data sources.
Related terms
- ABC-Analyse
ABC analysis is a method for classifying items, vendors, or processes into three priority classes (A, B, C) based on their economic significance. It forms the basis for differentiated decision-making in warehousing, inventory management, and procurement.
- Artikel
An item is the smallest uniquely identifiable unit in warehousing, procurement, and ERP – described by master data such as name, dimensions, weight, and identification numbers. It forms the basis for planning, order picking, and inventory management.
- Artikelbezeichnung
The item description is the human-readable name of an item in the inventory management or warehouse management system. It helps people in purchasing, logistics, and planning to quickly identify an item and distinguish it from others.
- Artikeleinheit
The item unit defines the unit of measure in which an item is managed, posted, and handled within the system. It forms the basis for consistent inventory management, picking, and pricing.
- Artikelklassifizierung
Item classification refers to the systematic categorization of items based on defined criteria such as value, turnover frequency, storage requirements, or hazardous material characteristics. It forms the foundation for differentiated warehousing, procurement, and picking processes.
- Artikelnummer
The item number is an internally assigned, unique identifier that unambiguously identifies an article within the inventory management and warehouse system. It forms the basis for postings, purchase orders, and communication between purchasing, warehousing, and production.
- Artikelstamm
The item master is the central data repository that permanently stores all logistically and commercially relevant features of an item. It forms the basis for warehousing, inventory planning, picking, and billing.
- Kommissionierung
Order picking is the process of assembling individual items from warehouse stock to fulfill a specific customer order — the most labor-intensive step in the warehouse.