Abstract: A method for optimizing operation of a machine for producing liquid or semiliquid food products, including: a processing container, a stirrer inside said container; a plurality of sensors and actuators, a control unit including an artificial intelligence control module, connected to said sensors and actuators and configured to define a pre-trained classifier, the control module trained using a first dataset.

Abstract: A machine for making liquid or semiliquid or semisolid food products, comprising: a processing container for processing base products; a stirrer adapted to mix products inside the processing container that processes the base products; a thermal treatment system, configured to exchange heat with the processing container that processes the base products; a control unit, connected to the thermal treatment system and to the stirrer to drive them, at least one sensor, configured to detect an operating parameter of the machine; a first artificial intelligence control module, configured to define a pre-trained classifier having at least one input and at least one output, where the at least one input is connected to the sensor; a drive module connected to the output of the first control module and at least to the thermal treatment system and/or to the stirrer.