Glossar

Data analysis refers to the systematic examination, evaluation, and interpretation of data to identify correlations, patterns, and opportunities for optimization. It lays the foundation for informed decisions and the continuous improvement of processes.

In logistics, large volumes of process, measurement, and movement data from systems such as DWS, WMS, TMS, or sensor technology are analyzed. Using statistical methods, artificial intelligence, and automated analyses, it is possible, for example, to identify throughput, utilization rates, sources of error, or process deviations. Targeted data analysis helps companies make processes more transparent, use resources more efficiently, and better predict future developments.

Practical example:

A logistics center analyzes the measurement and motion data from its conveyor system to identify bottlenecks and optimize system performance in a targeted manner.

See also: Artificial Intelligence (AI), Big data, Data integrity, DWS, Predictive analytics, Process optimization, Sensor technology, Supply chain visibility