Harnessing AI for Strategic Market Assessment Post-LOE in 2025
Client
A leading pharmaceutical company specialising in anti-infective treatments, with a key product facing Loss of Exclusivity (LOE) in 2025. The client operates in both hospital and retail segments and sought advanced, data-driven strategies to sustain market share and profitability post-LOE.Primary Goal
Conduct a comprehensive market analysis post-LOE to evaluate competitors, pricing shifts, and buyer behaviour, leveraging AI-driven insights for analog selection, strategic positioning, and resource optimisation to safeguard market share, maintain pricing integrity, and enhance decision-making efficiency.
Vamstar Capability
Enhanced Insights
AI Price Optimisation
Competitor Analysis
Margins Protection
Facing the 2025 Loss of Exclusivity (LOE) for a flagship anti-infective product, a leading pharmaceutical company required robust insights into post-LOE market dynamics. The product, a vital treatment sold across hospital and retail segments, faced significant pricing and competitive pressures.
Vamstar employed its proprietary AI to analyse market trends, competitor strategies, and buyer behaviours. This involved leveraging vast datasets and AI algorithms to provide actionable strategic options and defend market share effectively.
The client expected precise, data-backed recommendations to mitigate risks, optimise resource allocation, and refine competitive strategies, ensuring sustained profitability and market presence.
Key outcomes
Enhanced Insights: Comprehensive post-LOE market analysis
AI Optimisation: Precision in pricing and strategy modelling
Competitor Analysis: Identification of key threats and opportunities
Resource Efficiency: Data-driven allocation of commercial efforts
Sustained Margins: Minimised erosion through strategic pricing
Transformation Journey
- Before Vamstar
- During Vamstar’s Involvement
- After Vamstar
The pharmaceutical company struggled with an outdated approach to market assessment, relying heavily on traditional consulting firms that delivered limited, human-driven analyses. These narrow assessments lacked scalability, depth, and the power of real-time data, leaving the company with fragmented market intelligence and analogue selection processes driven more by subjective judgment than comprehensive insights.
As a result, inefficiencies plagued the company’s competitive strategy. Analogue selection was slow and reactive, often missing critical market signals and failing to reflect real-world dynamics. With insights arriving too late to influence strategy, the company remained vulnerable to pricing pressures, competitive threats, and rapid market shifts—particularly in post-LoE (Loss of Exclusivity) scenarios, where pricing erosion was swift and severe.
The absence of predictive analytics compounded these challenges, leaving the company with a critical strategic blind spot. Without forward-looking insights, they were unable to anticipate competitor moves, model future pricing scenarios, or seize new market opportunities. This lack of data-driven foresight weakened their ability to address post-LoE challenges and threatened their ability to sustain market leadership in an increasingly competitive landscape.
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