leanPredict:

Predictive maintenance for intralogistic systems is costly and complex due to many moving components. By researching ideal combinations of new, powerful Internet of Things sensor technologies and advanced machine learning algorithms, the effort and complexity of the process can be greatly reduced. The goal is to create a scalable and economical solution based on a modular principle for material flow systems.