An important role is played by projects that allow combinations of hardware and software to develop operations that fall within the sphere of Artificial Intelligence, fulfilling a series of tasks that are necessary but time-consuming for the operators, streamlining them and allowing the same operators to devote themselves instead to processes with greater added value.

Such technologies within production imply greater control over the processes themselves, allowing all the data collected and processed to be exchanged or stored for future use.

A virtuous cycle of continuous improvement of the production process assisted by technology is thus set up, but also the possibility for these platforms to gain experience, which even allows them to learn and even improve their performance.