Glossar

Data capture involves the recording, collection, and storage of information from physical or digital processes. It forms the basis for the further processing, analysis, and control of automated workflows.

In logistics, for example, data is captured using scanners, sensors, cameras, DWS systems, or RFID technologies. This includes information such as dimensions, weight, identification characteristics, status, or movement data for goods and load carriers. Automated data capture reduces manual data entry, improves data quality, and enables transparent control of warehousing, transportation, and shipping processes. When integrated with ERP, WMS, and TMS systems, it creates a seamless digital process chain.

Practical example:

As a package passes through a measuring station, its barcode, dimensions, and weight are automatically captured and made available for shipping, sorting, and freight billing.

See also: Barcode, DWS, Identification, Master data capture, RFID (Radio-Frequency Identification), Sensor technology, System integration, Track & Trace