Alexandru Popa

This panel brings together industry experts from leading pharma companies to discuss innovative approaches to enhancing supply chain resilience using data analytics. The conversation will focus on leveraging data for tracking, tracing, and improving visibility across the clinical trial supply chain to navigate the challenges posed by evolving trial requirements.

Key Takeaways:

• Enhanced Data Integration and Real-Time Tracking: Strategies to develop centralized data platforms that integrate supply chain metrics, enabling seamless tracking and tracing across all trial sites and phases.
• Predictive Analytics for Anticipation: Discuss how to use machine learning and predictive analytics to forecast demand fluctuations, identify potential risks, and plan mitigation strategies in advance.
• Collaboration for End-to-End Visibility: Discover the importance of fostering partnerships between sponsors, CROs, and logistics providers to share data, enabling end-to-end visibility in the supply chain.

Today, precision in supply planning is more critical than ever. Predictive analytics and AI-powered demand forecasting have emerged as transformative tools, enabling organizations to anticipate supply needs with unprecedented accuracy. However, integrating AI-driven solutions into legacy systems, ensuring data quality and accuracy, and overcoming resistance to technological change are significant hurdles. Moreover, the highly variable and often unpredictable nature of clinical trials adds layers of complexity to demand forecasting. Join this session where Alexandru Popa shares real world case studies of MSD’s use of AI to test small scale anomaly detection in clinical trial innovation projects.

Key Topics to be Addressed:

• Integrating Predictive Analytics into Supply Chains: Practical steps for aligning AI tools with existing systems and processes.
• Improving Data Quality for AI Models: Techniques for collecting, cleaning, and maintaining high-quality data inputs.
• Overcoming Adoption Barriers: Strategies for building organizational buy-in and addressing resistance to new technologies