PharmaSource recently published an insightful interview with Mike Boyson, a seasoned pharmaceutical supply chain leader with over two decades of experience at companies like Takeda and Moderna. The piece explores how AI tools — specifically Claude and ChatGPT — can be used to build practical digital twins for supply chain forecasting and planning, without requiring deep technical expertise.
The article walks through how domain experts (not developers) can build interactive supply chain models using AI. Boyson shares two concrete examples: what happens when a company switches from traditional vials to auto-injectors globally. The model instantly shows downstream sourcing implications. Another example is an EU regulatory compliance mapping tool built in an afternoon that connects directly to SAP. He also addresses the elephant in the room for pharma: GXP compliance, data confidentiality, and the need to keep humans firmly in the loop.
Clear path
Rather than making vague promises about AI transformation, Boyson explains exactly how he got started — cutting and pasting AI-generated Python code without knowing the language — and offers a clear path for others to follow. He also tackles regulatory concerns head-on, referencing ISPE's GAMP 5 framework and explaining how audit trails and human oversight make these tools viable even in regulated environments.
Read the complete article:
https://pharmasource.global/content/podcast/digital-twins-in-claude-how-biopharma-can-build-forecast-and-supply-models/