Glossar

Artificial intelligence encompasses methods and technologies that enable computer systems to perform tasks that typically require human abilities such as recognition, learning, analysis, and decision-making. It enables the processing of large amounts of data and the identification of patterns or recommendations for action.

In logistics, artificial intelligence is used to automate processes, make predictions, and support complex decision-making. Applications include, for example, image processing, object recognition, quality control, demand planning, and process optimization. In combination with sensor technology, WMS systems, and machine learning methods, logistics processes can be controlled more intelligently and continuously improved.

Practical example:

An AI-powered camera system automatically detects damage, protrusions, or missing markings on pallets, thereby supporting quality inspection in the logistics process.

See also: Computer vision, Data analysis, Deep learning, Machine learning, Object recognition, Predictive analytics, Predictive Vision for Logistics, Process optimization