AI Drug Shortage Prediction and Portfolio Intelligence for Biopharma
A leading global biopharmaceutical company partnered with Evalueserve to transform how it anticipates market disruptions and manages its commercial portfolio. Facing persistent challenges in predicting drug shortages and identifying products at risk of discontinuation, the organization needed a more proactive, data-driven approach to decision-making across supply, pricing, and marketing functions.
By implementing an AI-led intelligence ecosystem powered by probabilistic modeling, Evalueserve enabled the company to move from fragmented, reactive analysis to forward-looking, integrated insights. This end-to-end transformation equipped cross-functional teams with early signals on supply risks and market shifts, unlocking new opportunities for competitive advantage, optimized portfolio strategy, and more agile decision-making.
The Challenge
A leading global biopharmaceutical company was facing increasing complexity across both its supply chain and commercial portfolio decisions.
On the supply side, persistent drug shortages across the industry were creating both risks and opportunities. The organization initially explored external solutions to predict shortages but ultimately chose to build capabilities in-house due to data readiness challenges. However, even after significant internal effort, progress remained limited, resulting in delayed insights and missed opportunities to proactively respond to market disruptions.
At the same time, on the commercial side, the company lacked a systematic approach to predict product discontinuation risks. Critical signals - such as evolving government regulations, patent expirations, and shifting market dynamics - were fragmented across sources. This made it difficult to identify which markets or products were likely to decline, leading to reactive rather than strategic decision-making.
The Director of Supply Competitive Intelligence, supporting global marketing and working cross-functionally across manufacturing, inventory, and pricing teams, needed a scalable, forward-looking intelligence capability that could:
- Anticipate drug shortages early enough to act
- Identify market opportunities created by competitor disruptions
- Predict product discontinuation risks and market exits
- Enable coordinated decision-making across commercial and supply functions
The Solution
The organization partnered with Evalueserve to design and implement an AI-led intelligence ecosystem that addressed both challenges through a unified, probabilistic modeling approach.
"One of the reasons I chose Evalueserve is that they seem to understand the full complexity of the challenge"
1. Predictive Drug Shortage Intelligence
We built a probabilistic network model that maps hidden relationships across:
- Manufacturing sites
- Regulatory events
- Supplier dependencies
- Historical shortage patterns
- Competitive landscape signals
This system enabled early identification of potential shortages by detecting weak signals often missed by traditional analytics.
Key capabilities included:
- Shortage prediction models with forward-looking risk scoring
- Identification of secondary and tertiary supply impacts
- Dynamic tracking of competitor vulnerabilities
- Scenario modeling for pricing and supply adjustments
2. Commercial Discontinuation & Market Exit Intelligence
In parallel, we developed a predictive intelligence layer focused on portfolio strategy, integrating:
- Patent lifecycle data
- Government policy and regulatory changes
- Market demand signals
- Competitive product pipelines
Using machine learning and probabilistic inference, the solution identified:
- Products at risk of declining commercial viability
- Markets likely to experience structural shifts
- Early indicators of competitor withdrawal or deprioritization
3. End-to-End Decision Intelligence Integration
Beyond building models, we embedded insights directly into business workflows:
- Interactive dashboards tailored for commercial, supply, and pricing teams
- Automated alerts and opportunity signals
- Integration into portfolio planning and supply chain decision processes
This transformed intelligence from a static reporting function into a real-time decision engine.
"It felt much more like I had a partner in thinking this through instead of just somebody that was implementing what I told them to do."
The Impact
The partnership enabled the organization to shift from reactive analysis to proactive, intelligence-driven decision-making across both supply and commercial domains.
Supply-Side Outcomes
- Earlier identification of drug shortage risks
- Ability to capture incremental market share during competitor disruptions
- Improved pricing strategy alignment with supply dynamics
- Enhanced cross-functional coordination between manufacturing, inventory, and commercial teams
Commercial Outcomes
- Proactive identification of products and markets at risk of discontinuation
- More strategic portfolio prioritization and resource allocation
- Reduced exposure to declining or non-viable markets
- Stronger alignment between market intelligence and global marketing strategy
Enterprise Transformation
- Transition from siloed analytics to integrated intelligence ecosystem
- Establishment of a scalable, AI-driven decision framework
- Strengthened role of competitive intelligence as a strategic driver of growth
"This is something that is really a first for [us] and within the pharmaceutical industry as a whole."
By combining deep domain expertise with advanced AI and probabilistic modeling, the partnership enabled the client to unlock hidden patterns across complex datasets, turning uncertainty into actionable foresight. The organization is now expanding these capabilities to additional therapeutic areas and geographies, further embedding AI-driven intelligence into its end-to-end commercial and supply chain transformation journey.
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Overview & Impact
A leading global biopharmaceutical company partnered with Evalueserve to improve how it predicts market disruptions and manages its commercial portfolio. Evalueserve delivered a proactive, data-driven solution to forecast drug shortages and identify products at risk of discontinuation, enabling better decisions across supply, pricing, and marketing.