Glossar

Analytical methods are systematic approaches for evaluating data, measurement values, or process information. They are used to identify correlations, detect deviations, and support informed decision-making.

In logistics, analytical methods are used to evaluate master data, material flows, and process data. Modern systems utilize statistical methods, artificial intelligence (AI), or machine learning to recognize patterns, monitor processes, and uncover opportunities for optimization. This enables sustainable improvements in data quality, process reliability, and the efficiency of logistics operations.

Practical example:

At a package sorting center, an AI-powered system analyzes the recorded measurement data, detects erroneous data records, and supports the optimization of material flow.

See also: Artificial Intelligence (AI), Data Analysis, Deep Learning, DWS, Machine Learning, Master Data Capture, Material Flow, Process Optimization