According to the concept of Industry 4.0 (even Industry 5.0) managers strive to improve production by applying information technologies and next integrating them into operational technologies, that’s enabled to transform the traditional into Intelligent Manufacturing (IM). Introduction of these changes is particularly important to improve the machining process, which is complex and dynamic. In this article the smart machining process is modelled and demonstrated for a real-world case, namely manufacturing of the die casting mould in order to increase life of the die casting mould. Therefore, firstly, the data was acquired based on the applied within a company information system and additionally on the IoT sensors from the diecasting machines, the moulds themselves and the process parameters which are used during the manufacturing process of the diecasting parts from such mould. Next, a model for predicting the life of the die-casting mould using regression analysis, based on acquired data was applied. The results of mould design and mould manufacturing process are ultimately visible on the die casting machines. Such gathered data is used to model the prediction of the possibilities for increasing life of the die casting was elaborated.