The study presented in this thesis work is based on the development of a machine learning project applied to the particular case of the 548 Lam machine, a cut glass machine produced by the company Bottero s.p.a., which collaborates with this thesis. The work describes how to develop a project based on machine learning and how it can be applied in a real case. The thesis is in fact divided into two distinct parts, the first more didactic in which are explained the various steps to be followed to prepare the data and apply different algorithms of machine learning to maximize the results, the second instead shows how to use in a concrete way the results of the study of machine learning in order to effectively increase productivity.