The automotive and manufacturing industries are experiencing dynamic developments driven by global trends, regulatory changes, and evolving consumer demands. In particular, the demand for multifunctional utility vehicles, especially smaller and electric ones, is increasing, with municipalities striving to replace outdated models. However, producing these vehicles presents several challenges, particularly in terms of cost-efficiency, sustainability, and production reliability. The primary challenges this project aims to address include: – Low efficiency in the current production of specific automotive components. – Rising steel prices coupled with price pressures from global competitors. – Inefficiencies and reliability issues in custom heat treatment processes. – The absence of advanced tools for processing mechanical test data. – Key Project Goals The project aims to tackle these challenges by integrating advanced manufacturing technologies such as Artificial Intelligence (AI), Big Data Analytics, and simulation software into the production processes of small utility vehicles. These technologies will drive improvements in training, maintenance, quality control, and production scheduling, leading to cost-effective, efficient, and reliable manufacturing.