Glossar

Machine learning refers to artificial intelligence methods in which computer systems identify patterns in data and independently develop models for processing information. These systems continuously improve their results by analyzing large amounts of data.

Machine learning methods are used in logistics to recognize objects, optimize processes, and make predictions. They are employed, for example, in automated image analysis, quality control, demand planning, and predictive maintenance. When combined with sensor technology, camera systems, and digital platforms, they can identify complex relationships and support automated decision-making.

Practical example:

A machine learning model analyzes images of pallets and automatically detects anomalies such as damaged plastic wrap, missing labels, or unauthorized protrusions.

See also: Artificial Intelligence (AI), Artificial Intelligence in logistics, Data analysis, Deep learning, Object recognition, Predictive analytics, Predictive Vision for Logistics, Sensor technology