AI-First CRM HCP Module.
An intelligent customer relationship management system designed for medical representatives. It leverages Generative AI to streamline logging, summarizing, and tracking HCP interactions.
Launch Specifications
Product Overview
The AI-First CRM HCP Module replaces manual data entry with an intelligent conversational interface. Representatives can simply speak or type to log meeting details, and the AI automatically extracts structured data, updates the CRM, and organizes the interaction history for specific Healthcare Professionals.
- Conversational AI logging via Groq LLaMA models.
- Automatic extraction of interaction types, dates, and topics.
- Comprehensive HCP timeline and interaction history.
- Auto-saving draft workflows with review layers.
What AI-First CRM HCP Module Can Generate
Conversational interface to log meetings.
Structures data automatically into Postgres.
Auto-saves drafts before finalizing.
Historical interaction tracking views.
The Problem
Medical representatives spend countless hours manually filling out tedious forms to log interactions. This manual data entry process is slow, prone to errors, and distracts from core relationship building.
Our Solution
A conversational interface powered by Groq's LLaMA models allows users to log meeting details through natural language. The AI extracts key information in real-time and automatically structures the data.
Technical Architecture
The system features a decoupled architecture with a React SPA frontend and a FastAPI backend. A conversational LLM workflow processes messages, parsing hidden structured JSON payloads to automatically update the Postgres database.
Conversational CRM Pipeline
Tech Stack
Dashboard View Simulation
Key Engineering Challenges
- •Structuring unpredictable conversational inputs into strict database schemas.
- •Maintaining low latency during real-time LLM interactions.
- •Managing global state transitions between chat and form views seamlessly.
Key Lessons Learned
- ✓Prompting LLMs to return hidden structured JSON alongside conversational text significantly improves UX.
- ✓Domain-Driven Design (DDD) in FastAPI keeps the service layer exceptionally clean.
- ✓Serverless Postgres scaling prevents connection exhaustion during LLM cold starts.
Development Roadmap
Core Architecture
FastAPI, Postgres, and React setup.
Conversational AI
Groq integration and JSON extraction.
Analytics
Dashboard reporting and insights.
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