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Transformative impact of AI on pharmaceutical supply chain management 1

Published on October 29, 2026   27 min

Other Talks in the Series: AI, Innovation, and ESG in Supply Chains

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0:00
Welcome to this talk about the importance of AI on pharmaceutical supply chain management. My name is Antonio Pesqueira, and for the last 15 years I have been working with Healthcare and Life Sciences companies to navigate the intersection of operations, technology, and strategy. Currently, I'm a researcher at ISCTE University of Lisbon in Portugal and also working as a consultant for a company called DCOPI. Our core theme for today is mainly about AI that isn't just a new set of tools. It's really a potential future architecture that powers a more adaptive, resilient, and intelligent enterprise through a framework that we call dynamic capabilities.
0:45
To guide our discussions, we are going to follow a clear and logical path. We will begin by setting the stage, exploring the current AI landscape, and then also understand why this conversation is so important. And then we are going to address the essential compliance guardrails like good practices and also good distribution practices that are so fundamental in pharmaceuticals connected with supply chains. Because in our industry, the innovation must be built on a foundation of trust and safety. And from there, we are going to dive more into the heart of our strategic framework, that is the dynamic capabilities and the connection to integrated business planning. Not only this, we are going to map out the different waves of AI capabilities and then start to see how they come to life through specific therapeutical areas examples. Then we are going to look as well at the enabling technology of control towers, leveraging AI, of course, and then advanced tools like agent-based modeling as well. Each of the sections, as we can see from this slide, is going to be focusing on giving us hints for the future and making us think about the future possibilities and the options that we can all define to allow our supply chains to be more resilient, more agile, and more consistent as well in terms of the definition of specific processes. For example, end-to-end control towers and the visibility can really involve discussing how a distributed ledger, through blockchain, provides visibility into the supplier networks. Then when we start touching on dynamic capabilities, then we can start noting that the blockchain is able to grant those new capabilities that can augment agility. Here, AI, along with other technologies, can really change the game for each of these areas because it brings more sophistication and capacity in terms of analyzing large datasets.

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