L08.2 – Case Study AI & Analytics

This intermediate session brings four clinical supply practitioners together for a working look at where AI and predictive analytics already earn their place in trial planning and execution, and what it takes to get there.

Anchored by a multi-country Phase 3 case study, the panel walks through how predictive algorithms support demand forecasting, site resupply, and risk mitigation, giving teams real-time insight to manage things like variable enrollment and sensitive cold-chain requirements.

Shorter practical cases, from AI-assisted label verification to everyday forecasting, round out the hour so attendees at any starting point leave with something they can use immediately. Throughout, the panelists stay candid about what these tools do well, where they fall short, and the data and infrastructure a team needs in place before predictive analytics can prevent overages, cut wastage, and keep patients dosed on time across every geography. The hour runs as a moderated panel with live audience polls and open Q&A.