In this regard, ML can propose a streamlined optimization of the challenges that keep direct recycling from being scaled up. Collecting data of experiments dealing with direct recycling methodologies and using ML for identifying the most relevant parameters for a recycling potential prediction remains as an area of opportunity in this sector.