Amo – AI Expert Shopping Assistant

"Every big purchase, perfectly picked."

A conversational agent that learns a shopper's context, cuts through option overload, and guides the shopper to find the single best product for big-ticket or complex buys.

Features

🎤 Voice-First Shopping Assistant: Natural conversation with Amo through voice interface 📊 Interactive Product Guides: Visual buying guides with interactive questionnaires
🧠 Smart Product Detection: Automatically displays relevant guides based on conversation 💡 Expert Recommendations: 6-stage advisory process from diagnosis to final recommendation 🛒 Big-Ticket Focus: Specialized for complex purchases like car seats, laptops, strollers, etc.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

Voice Interface

Navigate to /voice to access the voice-powered shopping assistant where you can:

• Start a voice conversation with Amo
• Get personalized product recommendations
• View interactive buying guides
• Complete shopping questionnaires

Project Structure

• app/voice/page.tsx - Voice interface with OpenAI Realtime API integration
• app/search/data/ - Interactive product buying guides (e.g., baby car seats)
• app/search/components/ - Visual components for product displays

Technology Stack

This project uses:

• Next.js - React framework
• OpenAI Realtime API - Voice conversation
• TypeScript - Type safety
• Tailwind CSS - Styling

Learn More

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.