Hyper-personalized manufacturing requires a real-time, contextualized view of every machine's state to orchestrate rapid line changes. The foundational bottleneck is legacy PLC data trapped in proprietary, unstructured formats, forcing manual scraping and mapping for analytics and digital twin sync. This workflow automates that extraction using secure agent bridges, normalizes the data stream, and tags each reading with machine ID, active SKU, and batch context, creating the unified operational data layer needed for dynamic reconfiguration decisions.




