top of page

Pharmaceutical
Empowering Pharma with Data-Driven Precision

We help pharmaceutical companies harness the power of analytics, data science, and AI to improve research, optimize trials, and build resilient supply chains. The pharmaceutical industry is constantly navigating a landscape filled with challenges, opportunities, and uncertainties. 

​​

Penlotus helped a leading pharmaceutical firm maintain an uninterrupted supply of a critical drug during COVID-19 using predictive demand forecasting. We support pharma companies with R&D analytics, trial optimization, market strategy, and supply chain resilience.

We empower pharmaceutical clients with a suite of specialized services designed to drive data-led decision-making.

Our Forecasting Analytics practice combines deep epidemiological expertise with cutting‑edge machine‑learning to generate demand and revenue projections you can trust. We integrate real‑world data—from historical sales trends to demographic shifts—to model launch uptake, peak performance, and lifecycle trajectories. By layering analog‑based methods with hybrid ensemble models, we capture both predictable seasonality and unexpected market shocks.

Analytical Approaches & Techniques

  • Epidemiology‑Based Forecasting

  • Analog‑Based Forecasting

  • Time‑Series & Machine Learning Models

  • Hybrid Ensemble Models

Key Applications

  • New Product Launch Forecasting

  • In‑Market Brand Performance Forecasting

  • Budget vs. Actual Variance Analysis for agile reforecasting

  • Revenue & Margin “What‑If” Scenario Modeling

bottom of page