leveringsdata

Leveringsdata is a term used to describe data related to the delivery of goods and services. It covers information from the planning stage through to the completion of delivery, including planned dates, actual delivery times, locations, carriers, and delivery status. In practice, leveringsdata is collected and stored in systems such as enterprise resource planning (ERP) software, warehouse management systems (WMS), transportation management systems (TMS), and customer relationship management (CRM) platforms, and may be shared with suppliers and customers for visibility.

Typical elements of leveringsdata include order identifier, customer and ship-to details, product identifiers and quantities, planned delivery date and time, promised delivery date, actual delivery date and time, delivery status, carrier, tracking number, shipping origin and destination, warehouse or depot, route or vehicle information, and measures such as proof of delivery (signature or photo) and delivery conditions for sensitive goods. Additional fields may cover exceptions, delays, and environmental data (e.g., temperature for perishable items).

The data serves multiple purposes, including logistics planning and execution, inventory control, customer service, invoicing, and performance analytics. Common metrics derived from leveringsdata are on-time delivery rate, average lead time, and delay reasons. Standards and formats for exchanging leveringsdata include EDI/EDIFACT, ANSI X12, XML, and JSON, with APIs enabling real-time updates and integration across systems. Data governance practices such as master data management, data quality controls, and privacy considerations are important to ensure accuracy, completeness, and consistency across the supply chain.

Challenges often involve fragmented data sources, varying data quality, and the need for real-time visibility and consistent time zones. Solutions include data integration platforms, standardized event messages, and automated validation to improve reliability and responsiveness in delivery operations.