Our clinical supply chain webinar at a glance:
Watch our webinar and learn how to take a proactive approach in identifying improvements to your end-to-end clinical supply chain strategy supported by data analytics. Implementation and execution on even the best clinical supply chain planning and management oftentimes leads to a retrospective of “what could we do better next time?” In this webinar, we will discuss how the new era of system supported clinical supply chain data analytics can help move from incremental, local improvements to a global investment strategy in order to bring your life changing and saving therapies to both patients and the market faster.
Making improvements to your global clinical supply chain process takes time and money. Thus, it is all the more crucial to identify the actions that will make the best use of your resources. Having an end-to-end view of your clinical supply chain is fundamental to understanding not only how to invest but when and why. Addressing the most obvious bottlenecks do not necessarily bring the most value to the entire process. Simulating real-life investment scenarios, using clinical supply chain optimization software, will allow you to assess their return on investment at the sponsor level.
For example, did you know that using simulation to assess and improve your drug substance forecast and manufactured lot sizes across all compounds in your portfolio can lead to significant savings in your clinical supply chain?
What you will learn:
- How identifying global, strategic investments unblocks clinical supply chain bottlenecks
- How applying clinical supply data analytics can help bring therapies to patients and the market faster
- Lot sizing can save more than you think
- If your CMO contracts are facilitating or hindering your end-to-end clinical supply chain
- How to balance department-specific investment strategy with a more sponsor-level approach
Meet our webinar speakers:
Sébastien Coppe has a Master of Engineering in Applied Mathematics. He obtained his PhD by creating a pre-diagnostic tool for patients suffering from Alzheimer’s disease and other kinds of dementia, by designing some mathematical modelling of the patients’ brain behaviour. He is working at N-SIDE where he has been leading the Life Sciences activities for multiple years, providing services to more than 30 pharmaceutical companies in order to optimize their clinical trial designs and supplies thanks to forecasting and risk-based optimization solutions.
Cyrille Lefèvre has been working on the optimization of end-to-end clinical supplies with N-SIDE for more than 7 years. He has experience advising both large and small pharma for the forecasting and optimization of their clinical trials for all phases and through multiple therapeutic areas. Cyrille also has extensive experience training teams focusing on strategic planning and improving IRT resupply algorithms and the way they are used.