During the last decades, the implementation of digital technologies in industrial plants has led to significant improvements in the efficiency and cost reduction of many processes. Predictive maintenance is one of the emerging fields of this revolution and it consists in repairing or replacing components only when needed by monitoring machinery through different techniques. In many industries, such as aerospace and automotive, milling processes often require working expensive materials and complex parts, thus early detection of tool wear is a key factor to save additional costs. In this scenario, MOREPRO project aims at developing a digital prototype able to monitor in real-time the end-effector tool condition in high precision CNC machine milling processes.