Case Study
MedOrange Chatbot
AI-powered WhatsApp assistant designed to streamline pharmacy and healthcare retail customer interactions with fast, personalized, and context-aware support.
Core Purpose
- - Improve customer experience through instant responses
- - Reduce workload on human agents
- - Digitize and automate pharmacy services
- - Provide 24/7 support for common and critical user needs
Key Features
- - Product and general inquiries for medications, prices, alternatives, and store info
- - Prescription uploads for image and document review with guided follow-up
- - Chronic medication refill requests with order history awareness and refill reminders
- - In-chat order placement and real-time order tracking from processing to dispatch
- - FAQ automation with AI-enhanced matching over a structured knowledge base
- - Human agent escalation with full context handoff
- - Reminder system for medication, order pickup, and refill alerts
- - Session context retention for natural, personalized conversations
Technology Stack
- Backend: Flask
- Database: PostgreSQL
- AI/NLP: OpenAI GPT-4 for intent understanding
- Messaging Platform: WhatsApp (Meta Cloud API)
- Frontend (Admin Panel): React
Business Value
- - Reduces operational costs
- - Improves response time and operational efficiency
- - Increases customer satisfaction and retention
- - Enables scalability without increasing staff
How It Works
- User sends a message on WhatsApp
- Message is received via Meta Cloud API
- Backend processes the message
- AI determines intent (FAQ, order, refill, and more)
- System fetches or processes relevant data
- Response is sent back to the user
- If needed, conversation is escalated to a human agent
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