By making use of millions of production data, customized artificial intelligence algorithms make the closest estimate to the truth. The data collected by the sensor, PLC or HMI are transferred to the system. Analyzes and predictions are made with artificial intelligence algorithms and these analyzes are recorded. Recorded estimates are now learned. Through machine learning, the loop is created. By transferring new data to the system, the MI cycle improves itself.