The challenge
Pharma brand teams needed to understand shifting healthcare-provider loyalty patterns from large, messy datasets without a dedicated data science team on call.
Our approach
- 1
Built a predictive model on historical prescribing and engagement data to estimate loyalty trend shifts.
- 2
Layered an LLM-powered chat interface so brand teams could ask questions in plain language instead of reading raw reports.
- 3
Designed dashboards summarizing key trends and flagging significant shifts automatically.
Capabilities
- Predictive trend modeling
- Conversational data exploration
- Automated insight flagging
Tech stack
More case studies
SenPy
Multimodal chatbot leveraging LLMs and OpenAI API for real-time, context-aware conversations from both text and image inputs.
Talk2Data
Interactive data analysis platform — query your data conversationally. Translates prompts into SQL and renders visual results.
CodeMorphAI
Modernizes legacy apps using LLMs for seamless code migration, automated documentation, and test generation.