- Exploring key challenges AI can solve to identify how it can be used to optimize supply chain management
- Understanding what is required to enable AI to ensure successful implementation
- Highlighting the importance of organizational alignment to adopt AI effectively and drive measurable value
- Exploring new technology and innovation that are reshaping the clinical trial supply space
- Weighing up weaknesses in current supply chain approaches to identify where digital solutions could be placed
- Incorporating new technologies into your company for a smooth digital transition
- What are AI Teammates, and why do they matter?
- How teammates elevate risk management with proactive detection and smart alerts
- Using agents for greater precision in supply planning with optimized forecasting and demand planning
- Implementing a robust forecasting strategy to optimize clinical supply chain management
- Analyzing data to predict trends and accurately forecast supply chain needs
- Utilizing data to enhance forecasting and minimize cost
- Evolution of Push to Pull sourcing model
- Automation becoming reality
- Savings in Time, Waste, Risk, Cost and Carbon
- Adopting practices for internal and external packaging that allow for shorter timelines without compromising quality
- Ensuring therapies are packaged and transported in a timely manner
- How to optimize clinical trial supply timelines
- The cost of Manual and Trigger for Migration
- Overview of Migration process
- Planning and Key Learnings from an ongoing trial
- Real-world case study on how Abbvie modernized its clinical supply planning
- Practical insights and lessons learned during the replacement of a legacy system and implementation of a new one
- How we achieved significant improvements in efficiency, risk mitigation, and overall supply chain resilience
