lagerdata

Lagerdata is a term used in warehousing and logistics to describe datasets that document the inventory and storage attributes of goods within a supply chain. It encompasses the data managed by warehouse management systems (WMS) and other enterprise systems (such as ERP) that track stock levels, movements, and product attributes across locations and over time. The concept emphasizes the persistent, structured recording of where items are stored, how much is on hand, and how items move through receiving, storage, picking, packing, and shipping processes.

Typical data elements found in lagerdata include: item identifier (SKU or product code), product description, batch or lot number, serial number (where applicable), quantity on hand, unit of measure, storage location (warehouse, zone, bin), receiving date, manufacture date, expiration date, supplier or origin, movement history, transaction type (receipt, issue, transfer), and value or cost. Additional attributes may cover weight, dimensions, palletization, packaging, and regulatory attributes needed for traceability.

Applications of lagerdata involve stock reconciliation, order fulfillment optimization, demand planning, replenishment, and compliance reporting. It enables traceability for recalls, quality control, and recall management, as well as performance analytics for warehouse throughput and inventory turnover. Data interoperability is supported by standards and technologies such as GS1 barcodes, EDI, and event data models (e.g., EPCIS), which facilitate data exchange between trading partners and internal systems.

In German-speaking contexts, the term lagerdaten translates to warehouse or storage data, reflecting its role in documenting where and how goods are stored. Data quality and governance are critical for accuracy, timeliness, and consistency across systems.