Predict work using real-time data
Forecast duration of individual work items and utilize available capacity in the most optimal way.
When machines, material and frontline workers get connected into one digital ecosystem, it allows to not only make predictions about machine conditions or failures, it also means manual work duration and quality can be predicted. This is enabled by a machine learning system that uses historic data to make forecasts.