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AI chatbot for ophthalmology clinic with query generation
AI Chatbot
RAG
Lead Generation
Healthcare
Widget

AI chatbot for ophthalmology clinic with query generation

AI chatbot with RAG automatically updating knowledge from clinic website and converting patient questions into visit bookings.

Client

Ophthalmology clinic

Industry

Healthcare / Medicine

Scope of work

AI Development & Chatbot

Project duration

10 days

Project overview

Ophthalmology clinic specializing in vision correction needed solution that would answer patient questions 24/7, present available treatment methods and encourage visit booking. It was crucial for chatbot to always have current knowledge about prices, procedures and treatments.

The challenge

Clinic received hundreds of repetitive questions about procedure prices, vision correction methods and qualification process. Email and phone support was time-consuming and did not work after hours.

No 24/7 support

Patients asked questions after clinic hours, and lack of response resulted in loss of potential clients.

Repetitive questions

80% of inquiries concerned same topics: prices, correction methods, qualification process, clinic locations.

Low conversion to visits

Many patients did not book visit despite interest in procedure - they lacked proactive support.

Knowledge updates

Clinic prices and offer changed every few months - chatbot had to always have current knowledge.

Our solution

We built RAG chatbot that automatically indexes content from clinic website, answers patient questions and proactively encourages visit booking.

1

RAG with automatic updates

We implemented RAG system that scans clinic website every 24h, indexes new content and updates knowledge base. Chatbot always has access to current prices and procedures.

2

Widget with suggested questions

We created chat widget with suggested questions (prices, methods, qualification) that guide conversation and help patients quickly find answers.

3

Lead generation flow

Chatbot proactively offers consultation appointment when patient shows interest. Collects contact data and passes lead to clinic CRM.

4

Integration & deployment

We integrated widget with clinic website, added conversion tracking and dashboard with most frequent questions analysis.

Describe what you want to improve - quote in 24h

Tell us what you need - automation, integration, AI agent or an app. You get a concrete quote for exactly what you want: what we'll do, what it costs and when it goes live.

Project process

Days 1-2

Discovery & Setup

Clinic website analysis, key content identification for indexing, RAG pipeline setup.

1
Days 3-7

Development

RAG chatbot building, knowledge auto-refresh implementation, widget design, lead generation flow.

2
Days 8-10

Integration & Testing

Website integration, conversation tests, prompt optimization, CRM integration setup.

3

Project duration

10 days

Scope of work

AI Development & Chatbot

Technologies

OpenAI GPT-4
LangChain
Vector DB
Next.js
Supabase
Web Scraping

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