AI Studio: Pharma Forecasting Platform
The Pharma Forecasting Platform was developed under AI Studio’s Health vertical to help major pharmaceutical clients optimize forecasting and market performance.
It enables analysts and portfolio managers to visualize real-time demand trends, predict market shifts, and model future scenarios through an intuitive AI-powered interface.
As the UI/UX Designer, I led the experience design, visual system, and data visualization patterns, translating complex analytics into a cohesive and scalable platform for pharma decision-makers.
Concept demo from the Helios forecasting PoC
Lead UX Designer
Figma, Jira, Confluence
Data engineers, product manager, developers, consultants, SMEs, and partners
Objective
Simplify forecasting workflows for pharma analysts and executives
Design modular dashboards that support multiple forecasting models
Improve clarity and usability for complex data visualizations
Establish a reusable interface standard for future AI Studio health products
Approach
I started by mapping pharma forecasting workflows with the product team to understand how users transitioned between data inputs, predictions, and performance reviews.
Using this insight, I redesigned the experience into three primary views: Market Trends, Portfolio Forecast, and Scenario Modeling, balancing analytical depth with visual simplicity.
Wireframes evolved through iterative stakeholder reviews before moving to a high-fidelity prototype aligned with AI Studio’s brand system.
Design Improvements
Streamlined navigation: simplified multi-tab navigation into a unified workspace where users could switch between forecasts and models without losing context.
Visual hierarchy: introduced color-coded sections and typography scales for clear distinction between key metrics, trend charts, and filters.
Data visualization framework: defined consistent rules for line charts, heat maps, and comparative bars to standardize insights across therapeutic areas.
Interactive forecast cards: created modular forecast cards that summarize KPIs and allow quick scenario toggling.
Responsive layout: designed adaptable grid components for desktop and tablet viewing across pharma client environments.
Before and After
A visual comparison of the original interface and the redesigned platform highlights the transition from a dense, spreadsheet-style layout to a clear, visual-first workspace.
Before: fragmented data panels, inconsistent visual hierarchy, and limited contextual guidance.
After: unified dashboard design with modular cards, clean data visualizations, and simplified navigation.
Outcome
The facelift delivered a cohesive, data-driven interface that increased user clarity, reduced visual noise, and accelerated forecasting workflows.
It set the foundation for AI Studio’s Health vertical design language, enabling consistent expansion into other pharmaceutical and healthcare analytics tools.