Optimized data management has the potential to reduce scrap rates, improve battery quality and identify the process stages or materials that cause failures. Ultimately, this will enable a large number of still unexplored avenues of research to be explored more quickly and clearly. In this scenario, VR, AR and MR have a strong potential to optimize data collection and training. Numerous studies have examined the contribution of these technologies as training and activity support tools , with excellent results in different applications, including gaming, healthcare, training and automotive manufacturing . Through our previous works which pioneered the use of VR and MR in the field of battery chemistry, we have shown that these technologies have many advantages in particular for education purposes, because they allow users to enjoy a unique immersive and interactive experience in real-time. Also, thanks to their unique characteristics, each of these technologies can be used for specific purposes. We believe that MR, in particular, has the potential to revolutionize the battery manufacturing process by improving worker training, inspection and assembly tasks. Through the use of headsets and holographic displays, workers can access data and instructions in real-time, improving efficiency and reducing the risk of error . MR can also facilitate maintenance and remote assistance, allowing experts to guide and troubleshoot manufacturing processes remotely [20,21] . It has already been shown in other application contexts that MR is a suitable technology for making decisions and carrying out certain tasks, such as the design review process . Finally, a study in the field of architecture shows that users seem convinced that using MR increases their personal satisfaction, particularly in collaborative situations .