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
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
Evolution of Push to Pull sourcing model
Automation becoming reality
Savings in Time, Waste, Risk, Cost and Carbon
The cost of Manual and Trigger for Migration
Overview of Migration process
Planning and Key Learnings from an ongoing trial
From IVRS to RTSM (a decade of evolution, innovation, and lessons learned), Insights from 1,000 Studies (what we have consistently seen, what has worked and what hasn’t), emerging trends and innovations shaping the next generation of RTSM, what sponsors are asking for (future expectations from RTSM providers)
Enhancing real-time data visibility and accuracy
Streamlining compliance and regulatory adherence
Boosting flexibility and efficiency in clinical supply management
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
How should companies create bandwidth and investments for young talent?
How do we enroll mentorship programs to prepare the younger generation for an AI-enhanced workforce?
With a global talent shortage how do we upskill younger workers to develop in an AI-driven job market?
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