Glossar

Digitalization involves the conversion of analog information, processes, and business workflows into digital data and automated applications. It lays the foundation for more efficient processing, networking, and use of information.

In logistics, digitalization enables the end-to-end collection, processing, and analysis of process data. Sensors, DWS systems, cloud applications, and networked IT systems provide transparency into the flow of goods and enable automated decision-making. By integrating ERP, WMS, and TMS solutions, processes can be optimized, resources can be allocated more effectively, and new digital business models can be developed. Digitalization is thus a key driver of modern, data-driven logistics processes.

Practical example:

A logistics center digitizes its shipping processes by automatically capturing measurement, weight, and identification data and transferring it to connected systems without manual entry.

See also: Data analysis, DWS, Industry 4.0, Intralogistics, Process automation, Sensor technology, Supply chain visibility, System integration