Nowadays, the manufacturing industry, specifically Small and Medium Enterprises (SMEs), still faces significant challenges associated with data management within shop-floor environments. Through a preliminary state-of-the-art literature review, it was possible to understand current technologies, identify the discrepancy between theoretical models and practical industry scenarios, and establish the methodological foundation of this study. In the current transition toward Industry 5.0, a core challenge for numerous enterprises remains the systematic acquisition and management of real-time production data. This data infrastructure allows enterprises to identify the exact drivers of profitability and inefficiency. To facilitate data collection and ensure adaptation to real-world operational constraints, this research is based on a real case study conducted at M.R.M S.r.l, an Italian manufacturing company that operates in Aerospace and Automotive sectors, with prototype or serial sheet metal parts produced using cold forming processes.