Home / Intelligence / Case Studies / Hyper-personalized HCP Recommendations
Client Situation
The objective was to increase market share of target prescribers through an AI-powered Next Best Action model
Trinity’s Role
We were able to deploy this solution in 3 weeks. The project included:
- Discussions with the client team to finalize standardized business rules for brand-agnostic data and KPI definitions
- Master dataset development through applying business rules and automated monthly PySpark code refreshes
- State-of-the-art machine learning algorithms like reinforcement learning, deep neural networks with dynamic recalibration and automated hyperparameter tuning for enriching HCP recommendations
- Automated data engineering pipelines to append the recent data to master data set at regular intervals
- Sequential Content – channel combination is recommended for each HCP at timely intervals without any manual intervention
Project Outcomes
This project resulted in a 9% increase in engagement rate. Deliverables included:
- Hyper-personalized recommendations for HCPs with relevant content, channel and sequence
- A parameterized, brand-agnostic model with incremental training enabled, which adapts to changing prescriber behavior and provides optimal recommendations
- Seamless data flow to and from channel partners
- Re-usable and modularized codes to help in quick enhancements, easy refreshes and reduction of additional effort
- Self-learning enabled in final recommendations – results are updated based on recent engagements
“We are happy with this ‘Re-configurable White Box Solution.’ Several man-hours that usually go in other projects are avoided here due to parameterization and config creations. Most of all, being able to change the rules without help from the development team at any point is very helpful with quick changes in requirements and ad hoc analysis.”
Related Intelligence
Webinars
The GenAI Advantage: Empowering Pharma Customer-Facing Teams
June 11, 2025 | 1:00 – 1:45 PM ET
Additional sessions will be offered on:June 12 – 12:00 (UTC +8:00) – Asia/ShanghaiJune 12 – 12:00 CET – Europe/Berlin Join us for the first webinar in our “AI Innovations in Life Sciences” series to learn how generative AI (GenAI) can transform the way customer-facing teams (sales reps and medical science liaisons) operate in life sciences […]
Sign Up Now
White Papers
Technology with a Point of View: Encoding Life Sciences Expertise with AI
As an industry, life sciences is now looking towards technological change to leverage investments made during the past few years. In fact, according to Trinity’s TGaS Advisors, the proportion of surveyed companies reporting that they have completed proof of concept or are using GenAI at an enterprise level for commercial, medical, or customer operations surged […]
Read More
Blog
Transforming CRM Data with Precision Technology
Data is the great enabler. It is the backbone of modern Customer Relationship Management (CRM) systems. Data enables businesses to understand their customers better, personalize interactions and make informed decisions. Companies that can harness the power of data have a competitive advantage now, but soon it will become a competitive disadvantage if they are unable […]
Read More