Advancements in automation and machine connectivity simplify the adoption of material saving technologies and speed up a reduction in the carbon footprint of our industry.  Machine learning allow us to improve all types of automation in order to control more accurate traditional parameters like wall thicknesses, meter weight and eccentricity, but also new parameters like stretching force in a PVC-O line. With connectivity tools it is possible to take data to the cloud. Data can be used in control loops to react to real time parameter changes, but also to predict the best settings for a future startup or predict changes that may come later in a production run.  Current advancements in technology also open up new controls and automation possibilities for multi-layer and foam core pipe production.