The textile industry is among the most environmentally impactful sectors, facing increasing pressure to improve transparency and sustainability. Life Cycle Assessment (LCA) and the Digital Product Passport (DPP) are two key mechanisms proposed to address these challenges. This article presents a modular, layered digital architecture that enables the integration of LCA and DPP functionalities, specifically tailored to the textile sector. The system supports real-time data acquisition, intelligent data enrichment through business rules and AI, and stakeholder-specific visualization. A pilot implementation in a textile yarn production environment validated the architecture’s practical feasibility. By separating inference logic from interface generation, the system demonstrates high scalability, enabling adaptation to other sectors and value chains. This work contributes a technically robust and operationally tested approach to sustainable product data management, aligned with emerging European regulations trough one developed and implemented architecture / framework.