Paeon AI: The Intelligent Commercial Representative Track: 2 (Digital Medical Representative) Team: Paeon AI

Overview The Paeon AI is a high-performance, voice-controlled sales cockpit designed for the pharmaceutical "Last Mile."

Unlike traditional chatbots that simply retrieve information, the DMR acts as an Agentic Sales Partner. It equips field representatives with real-time, regulator-verified clinical arguments (CDSCO/FDA) and automated administrative tools (Insurance/Pricing) to close prescriptions instantly and compliantly.

The Problem Pharma spends billions on strategy, but execution fails in the 3 minutes a rep has with a doctor.

Information Overload: Reps can't memorize 100+ pages of clinical labels. Compliance Fear: Reps hesitate to discuss off-label queries or pricing. Access Barriers: Doctors avoid prescribing because they don't know if a patient's insurance covers the drug. The Solution A "Two-Zone" Intelligence Surface that splits the cognitive load:

Zone A (Active Stage): Voice-activated Flashcards for immediate clinical detailing and comparison. Zone B (Live Ticker): Real-time regulatory alerts (CDSCO circulars, price changes) and supply chain updates. Key Features

  1. The Flashcard Engine (Clinical Mastery) Zero-Latency Detailing: Instantly renders side-by-side comparison tables (Efficacy, Safety, Dosing) grounded in the approved Product Insert. Strict Verification: Every data point is cited (e.g., "Source: Section 4.2, CDSCO Approved Label"). Visual Logic: Uses "Data Density" rather than persuasive text to show superiority.
  2. The Admin Closer (Business Mastery) Insurance Navigator: Instantly checks coverage for Ayushman Bharat, CGHS, and private TPAs (Star/HDFC). Automated Paperwork: One-click generation of Prior Authorization Forms or Patient Assistance Program (PAP) applications.
  3. The "Indian Context" (Linguistic Fluidity) Hinglish NLP: Built to understand mixed-language queries (e.g., "Iska renal dosage kya hai?"). Regional Patient Support: Generates patient education cards in local languages (Hindi, Marathi, Tamil) for the doctor to share via WhatsApp. Tech Stack Frontend: Next.js 15 (App Router) + React Styling: Tailwind CSS + Shadcn/UI Animation: Framer Motion (for the "Snap" card transitions) State Management: Zustand Voice/AI (Mocked for Demo): Deepgram (STT) concept + LangChain RAG Logic

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