WEBINAR REPLAY | Clinical supply forecasting without Excel

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Topics

Clinical supply forecasting & planning

Clinical trial

Page published on

July 10, 2026

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During this webinar:

If Excel is still driving your clinical supply forecasting and planning, you already know the pain: endless versioning, manual updates, fragile formulas and by extension, decisions made on data that’s out of date the moment you hit “save”.

Join this live demo of N-SIDE Lighthouse to see a practical, modern way to manage clinical forecasting with more confidence and far less manual work.

In one session, you’ll see how teams replace spreadsheet-heavy workflows with a centralized approach that stays aligned with trial reality, including real-time signals from IRT/RTSM.

What you’ll walk away with :

A clear view of how to model trial complexity without building (and rebuilding) spreadsheet logic.
Show you a concrete example of IRT/RTSM integration to reduce manual entry and keep forecasts current.
A live look at monitoring & supply control, so you can anticipate risk earlier and act faster.

If you’re responsible for forecasting accuracy, planning, or supply continuity, this session is for you!

Save your spot and see Lighthouse in action.

Author

Maxime Derep

Director Solutions Engineering

Max is passionate about problem solving and change management. He leads the Solutions Engineering team and has over 8 years of experience at N-SIDE. He helps pharmaceutical organizations realize the value of optimization and transform their forecasting & planning processes.

Author

Estefanía Araujo

Lighthouse Product manager

As a product leader specializing in clinical trials supply chain management, Estefanía bridges the gap between mathematical modelling and supply chain execution. At N-SIDE, she leads the discovery and delivery of solutions that transform data into actionable forecasting and inventory decisions. With a career rooted in both optimization consultancy and product management, Estefanía is dedicated to helping teams modernize their supply chain processes to reduce wastage and increase trial agility.