Pharma supply chains face an array of issues around complex manufacturing, distribution and logistics operations including coordinating material flows across multiple supply tiers, lack of multi-tier visibility, supply constraints, NPI cycle time pressures, regulatory compliance, quality yield predictability, and much more.
In this session, we’ll provide a new perspective on how supply chain problems can be solved by leveraging a multi enterprise network, a “network of networks”, combined with an AI assistant to drive improved decision speed and quality for each actor in the pharma ecosystem: CMOs, ingredient suppliers, LSPs, and Captive Manufacturing. We will profile a case study of a top tier global pharma brand and explain why this approach is delivering value beyond what enterprise-based solutions have achieved.
In this recording of the LogiPharma presentation, you will learn:
- The underlying reason why pharma supply chains operate well below potential
- Explain how networks can simplify manufacturing and multi-tier supply management processes
- Provide value for all actors in the pharma supply ecosystem
- How AI/ML agents trained on a massive network deliver better predictions and decisions compared to enterprise AI-based solutions.
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