Ecommerce Chatbot

An AI-powered chatbot to assist e-commerce customers with queries and recommendations.

View on GitHubLive Demo
Ecommerce Chatbot main view

About

Ecommerce Chatbot integrates with product catalogs and uses an AI backend to provide conversational help and product recommendations. The project demonstrates integrating AI services, building a conversational UX, and connecting to e-commerce APIs for inventory and pricing.

Tech Stack

  • Next.js
  • OpenAI (or other LLM)
  • TypeScript
  • Tailwind CSS
Ecommerce Chatbot view 2
Ecommerce Chatbot view 3
Ecommerce Chatbot view 4

How it works

The application uses Next.js to render pages and optimize assets. Server-side rendering and static generation are leveraged where appropriate for performance and SEO. Client-side code handles interactive features and user interactions. Data is stored in a backend (PostgreSQL or lightweight CMS) and retrieved through API routes or a GraphQL layer.

Key Features

An AI-powered assistant integrated with product catalogs to recommend items and answer customer queries.

Responsive Design

Built with Tailwind CSS for seamless experience across all devices

Optimized Performance

Images optimized through Cloudinary or Next.js Image component

Accessibility First

Semantic markup and keyboard-friendly components throughout

Zero-Config Deployment

Deployed on Vercel for instant updates and global CDN