In addition to the aforementioned modeling methods, another important tool for achieving recycling digitalization, relies on harnessing the power of data driven approaches, powered by AI algorithms. These techniques, find their predictive power due to the high volume of data used to train the models. If applied correctly, these models could find their usefulness in multiple different steps of battery recycling, however, we emphasize its ability to be used to train robotics to perform the most dangerous processes that can expose workers to the highest amount of risk, being sorting and disassembly and mechanical processing, some of them.