The company has developed an analytics platform that automates the analysis of manual work processes in logistics and production. By leveraging data from wearables and beacons, their platform anonymously records and recognizes activities and process steps using their proprietary learning pattern recognition technology. This allows companies to analyze manual work processes and calculate objective process key indicators. MotionMiners, a spin-off of the Fraunhofer-Institute for Material Flow and Logistics (IML), utilizes mobile sensors, radio transmitters, and machine learning algorithms to enable automated process analyses of manual work processes. Their Motion-Mining®-Technology supports production and logistics planners in analyzing productivity and ergonomics, uncovering hidden optimization potential based on real process data while ensuring complete anonymization of employee data.