The pharmaceutical manufacturing industry continues to grapple with decades of paper-based logbooks, procedures, and recipes that represent invaluable tribal knowledge but remain largely inaccessible for digital analysis and optimization. This presentation demonstrates how artificial intelligence can transform this challenge into a competitive advantage through intelligent document digitization. Our AI-powered approach combines advanced optical character recognition (OCR) with natural language processing and manufacturing domain expertise to convert paper-based manufacturing documentation into structured, searchable digital formats. Unlike traditional scanning approaches, our solution understands manufacturing context, automatically extracting critical process parameters, equipment settings, and procedural steps while maintaining data integrity and regulatory compliance. In this session, you will learn more about:
- Intelligent extraction of process parameters, setpoints, and manufacturing instructions from handwritten and typed documents.
- Automated validation of extracted data against known process constraints and historical patterns.
- Integration pathways for digitized content into modern MES platforms including TrackWise Manufacturing.
- ROI demonstration: reducing manual data entry by 85% while unlocking previously trapped manufacturing knowledge.
- Regulatory considerations and validation approaches for AI-assisted digitization.
&nsbp;
