Pharmaceutical supply chains have long been designed primarily for regulatory compliance rather than speed or adaptability, often resulting in rigid, slow-moving operations. Instead of relying on monthly or quarterly reviews, modern systems now connect quality, manufacturing, regulatory, and operational data in real-time. Together, these pillars—AI-driven orchestration, ecosystem-wide data connectivity, and federated learning—are moving pharmaceutical supply chains away from static pipelines toward adaptive, self-correcting systems. PC: As the industry increasingly adopts digital and data-driven models, what challenges remain in ensuring transparency, audit readiness, and long-term scalability across a decentralized supply chain? Data is already available, but from there, we tried it with one plant, two plants, three plants.