Archives: Agenda

• Exploring real world applications of AI in route optimization, risk prediction and excursion prevention
• Implementing digital tools for real time monitoring, alerting, and end to end visibility
• Integrating IoT and cloud based systems for smarter, data driven cold chain decisions
• Evaluating readiness and ROI: where does AI and digitisation have the potential to add the most value?
• Overcoming adoption barriers such as cost, data silos, legacy systems and regulatory constraints

MODERATOR

Marco Del Giudice, Co Founder and Vice President, Pharmacom Italia

During the roundtable discussion session, the conference hall will be divided into zones. Delegates can choose which zone they would like to join. Each zone will be led by a table moderator and will focus on a different challenge within supply chain logistics for biopharmaceuticals.

ROUNDTABLE 1: Meeting sustainability targets for pharma supply chains

Kamal Amin, Head of Clinical Supplies Management, Galderma

ROUNDTABLE 2: Managing supply chain vendors to ensure smooth logistical operations

Luiz Barberini, Head of External Manufacturing, Latin America, Bayer

ROUNDTABLE 3: Re-engineering clinical trial supply chains: building faster, smarter and more resilient global operations

Chiara Venuti, Member of the Management Board, Cool Chain Association

ROUNDTABLE 4: Navigating CDMO Partnerships as a Small Biotech: Challenges and Practical Solutions

Amanda Brown, Clinical Trial Supply Manager, Immutep

• IOT and Technology Evolution
• From Reactivity to Proactively saving shipments.
• AI in predictability – The Next frontier

• Balancing sustainability goals with performance requirements in cold chain packaging design
• Selecting the right passive and active packaging solutions for your product
• Gaining flexibility in the supply chain through partnership and collaboration in packaging operations

• Positioning cold chain integrity as a patient safety issue, not just a logistics function
• Acknowledging EMEA diversity and moving beyond one-size-fits-all approaches
• Applying risk-based, data-driven decision-making across the supply chain
• Strengthening governance through empowered local quality teams

• Understanding the unique challenges of cryogenic and ultra low temperature shipments
• Selecting the right packaging, carriers and monitoring tools to ensure product integrity
• Planning for lane validation, dry ice replenishment and contingency protocols for global routes

How pharma logistics companies are implementing CMM across their global networks

• Examples of real CMM implementations in GDP
• What worked (and what failed)
• The concrete business value it brought
• Learnings and pitfalls to account for