Advanced Analytics in Pharmaceutical Supply Chain Management

This document is a transcript discussing the impact of advanced analytics on pharmaceutical supply chain management. It outlines how augmented analytics and machine learning can enhance predictive modeling, enabling organizations to respond more effectively to patient demand. The text emphasizes the shift from traditional analytics, which focused on known questions regarding costs and patient service, to a more dynamic approach that uncovers new insights and trends. The speaker, Roddy Martin from TraceLink, explains that this transformation in analytics can significantly improve visibility, agility, and resiliency within the supply chain. By connecting various data points across the patient-centric healthcare system, organizations can address questions they previously did not consider, ultimately benefiting the healthcare landscape. The discussion highlights the potential for advanced analytics to revolutionize how pharmaceutical companies manage their supply chains and respond to emerging challenges.