A beverage maker, comprising a) at least one sensor of a 1st category , wherein a sensor of the 1st category is understood to mean a sensor that provides only a single measured value S1 at a certain point in time; b) at least one sensor of a 2nd category , wherein a sensor of the 2nd category is understood to mean a sensor that provides several measured values S2 at a certain point in time; c) a data storage ; d) a control unit , wherein the control unit is configured to compare the measured values S2 with target values for the measured values S2, which are stored on the data storage and encode for at least one specific event , and, on the basis of this comparison, to automatically trigger or not trigger at least one event in the beverage maker; wherein the control unit of the beverage maker is further configured to detect and use at least one measured value S1 to assign certain measured values S2 , which do not trigger an event after being compared with target values for the measured values S2, to at least one event , and to store these measured values S2 on the data storage as target values for the at least one event , characterised in that the beverage maker is further configured to assign measured values S2 of the at least one sensor of the 2nd category , on the basis of a user's confirmation via the at least one sensor of the 1st category , to certain regularly occurring events , wherein the assignment is performed according to machine learning principles, and wherein the measured values S2 for the events are automatically stored on the data storage . a) at least one sensor of a 1st category , wherein a sensor of the 1st category is understood to mean a sensor that provides only a single measured value S1 at a certain point in time; b) at least one sensor of a 2nd category , wherein a sensor of the 2nd category is understood to mean a sensor that provides several measured values S2 at a certain point in time; c) a data storage ; d) a control unit , wherein the control unit is configured to compare the measured values S2 with target values for the measured values S2, which are stored on the data storage and encode for at least one specific event , and, on the basis of this comparison, to automatically trigger or not trigger at least one event in the beverage maker; wherein the control unit of the beverage maker is further configured to detect and use at least one measured value S1 to assign certain measured values S2 , which do not trigger an event after being compared with target values for the measured values S2, to at least one event , and to store these measured values S2 on the data storage as target values for the at least one event , characterised in that the beverage maker is further configured to assign measured values S2 of the at least one sensor of the 2nd category , on the basis of a user's confirmation via the at least one sensor of the 1st category , to certain regularly occurring events , wherein the assignment is performed according to machine learning principles, and wherein the measured values S2 for the events are automatically stored on the data storage . wherein the control unit of the beverage maker is further configured to detect and use at least one measured value S1 to assign certain measured values S2 , which do not trigger an event after being compared with target values for the measured values S2, to at least one event , and to store these measured values S2 on the data storage as target values for the at least one event , characterised in that the beverage maker is further configured to assign measured values S2 of the at least one sensor of the 2nd category , on the basis of a user's confirmation via the at least one sensor of the 1st category , to certain regularly occurring events , wherein the assignment is performed according to machine learning principles, and wherein the measured values S2 for the events are automatically stored on the data storage . <EOS>