E-commerce Virtual Assistant with Rasa

Intelligent Shopping Experience with Rasa AI & Supabase Backend

Project Overview

This comprehensive e-commerce platform integrates an intelligent virtual assistant powered by Rasa NLU/Core with a robust Supabase backend. The system provides personalized shopping experiences, automated customer support, and seamless order management through conversational AI interfaces.

System Architecture Flow

Customer
→
HTML Frontend
→
Rasa Chatbot
→
Supabase API
→
PostgreSQL DB
→
Analytics

Core Components

Frontend Interface

Responsive HTML/CSS/JS interface with integrated chat widget for seamless customer interactions and product browsing.

HTML5 + CSS3 + JS

Rasa Virtual Assistant

Advanced NLU engine handling customer queries, product recommendations, order tracking, and support automation.

Rasa NLU/Core

Supabase Backend

Cloud-native backend providing real-time APIs, authentication, file storage, and database management.

Supabase Cloud

PostgreSQL Database

Robust relational database storing product catalogs, user profiles, orders, and conversation history.

PostgreSQL

Authentication System

Secure user authentication with social logins, JWT tokens, and role-based access control.

Supabase Auth

Analytics Dashboard

Real-time insights into customer behavior, sales metrics, and chatbot performance analytics.

Custom Analytics

Technology Stack

Rasa Framework
Supabase
HTML/CSS/JS
Python
PostgreSQL
Docker
REST APIs and JWT Auth
Metabase
Cloud or VPS

Implementation Roadmap

1

Supabase Project Setup

Initialize Supabase project, configure database schema for products, users, orders, and chat history. Set up authentication providers and API keys.

Database schema design
API configuration
User authentication setup
2

Conversation Flow Design

Design flows for discovery, support, and personalized recommendations.

Conversation flows
NLU training data
Custom actions in actions.py for product search and recommendation
3

Frontend Development

Create responsive e-commerce interface with product catalog, shopping cart, user dashboard, and integrated chat widget.

Shopping cart functionality
Chat widget integration
Responsive design

🚀 Try the live demo with Rasa Webchat now:
Launch Demo

4

Rasa Chatbot Development

Build intelligent conversational AI with rasa init, train NLU models for e-commerce scenarios.

NLU and Stories
Dialogue management
Custom actions revision
5

API Integration

Connect the chatbot deployed by EC2 on AWS.

Creating account for the store on AWS
Connect with EC2
Deploying the chatbot
6

Analytics Implementation

Integrate analytics tools for comprehensive insights into user behavior and business performance.

Easy for beginners
Site traffic and SEO tracking
Real-time or daily batched analytics for business insights

Key Benefits & Features

Supabase - Deploying products in minutes

Utilizing prebuilt platforms, reserving time for building business.

AI-Powered Assistance

Intelligent product recommendations and automated customer support

Enterprise Security

Built-in authentication, authorization, and data encryption

Scalable Architecture

Cloud-native design that scales automatically with demand

Cross-platform Support

Works seamlessly across web, mobile, and messaging platforms

Advanced Analytics

Comprehensive insights into customer behavior and sales performance