Glossar

Artificial Intelligence in Logistics refers to the use of artificial intelligence (AI) to automate, analyze, and optimize logistics processes. The goal is to intelligently evaluate data, support decision-making, and make processes more efficient and reliable.

In logistics, artificial intelligence is used, among other things, for automatic dimension detection, image processing, route planning, and quality control. Algorithms analyze large amounts of data in real time, identify patterns, and derive recommendations for action or automated decisions from them. This improves process reliability, data quality, and efficiency throughout the entire supply chain.

Practical example:

At a parcel sorting center, an AI-powered system automatically detects damaged packages and supports sorting and quality control.

See also: Artificial intelligence (AI), Computer vision, Deep learning, DWS, Machine learning, Master data capture, Material flow, Process optimization