A second example of how leveraging the digital approach, using data-driven decision-making tools might transform the optimization, is to use a twin of the manufacturing process to give insights into each step of it. In this context, these twins are being used in battery manufacturing for minimizing defects and scrap rates . For instance, studying and improving the most crucial steps during battery manufacturing through computational simulation, would ensure optimum efficiency and minimal waste. Additionally, in the era of Artificial Intelligence (AI), it is envisioned that an intelligent quality check during manufacturing is exported to the recycling process and ensure minimum waste and improved material recovery process.