Leveraging AI-led Insights for Strategic Biosimilar Licensing Negotiations
Client
Two leading biosimilar companies, pharmaceutical sector
Primary Goal
Reassess investment and refine multi-asset licensing arrangements for strategic growth.
Vamstar Capability
AI-powered market insights
Data normalisation and analysis
Machine learning forecasting
In the fiercely competitive biosimilars market, two prominent pharmaceutical companies were navigating the complexities of multi-asset licensing arrangements and needed to reevaluate investment strategies.
Market data vendors and consulting firms had failed to provide them with a clear picture of net prices and discounting trends, especially in the critical tendering channels. Seeking a solution that could offer deeper insights into market dynamics, they turned to Vamstar’s AI-powered platform.
This case study explores how the platform revolutionised their decision-making, resulting in increased investment and a recalibrated geographical licensing agreement.
Key outcomes
At Vamstar, we’re committed to transforming the life science market access and supply chain landscape with cutting-edge technology and unparalleled support.
Re-negotiated licensing
Improved decision-making
$1.6 billion investment
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- Before Vamstar
- During our collaboration
- After
Both companies had developed various models to understand biosimilar price erosion but faced significant barriers.
They relied on list price data from market vendors, which offered unreliable assumptions, and consulting firm interviews that provided insufficient clarity into the evolving dynamics.
Additionally, they couldn’t grasp the role of non-price factors affecting tender wins and originator defence, leading to uncertain strategic planning.
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