AIOutlet is a reference, open-source e-commerce platform built with a modern, microservices-based architecture. It is designed to serve as a learning resource and architectural blueprint for developers, architects, and students exploring distributed systems, full-stack development, and cloud-native design.
AIOutlet is a modern, modular, and AI-ready e-commerce platform — similar in ambition to Amazon — with support for both responsive web and native mobile applications. It is built from the ground up for flexibility, scalability, and extensibility, following these core principles:
- 🧱 Microservices Architecture — Each business capability is implemented as a separate microservice using the most suitable technology (Node.js, .NET, Python, Java, Go, etc.).
- 🖥️ Frontend in React — A sleek, responsive UI built with vanilla React, optimized for user experience.
- 📱 Mobile-Ready — Future support for native mobile apps using React Native or Flutter.
- ☁️ Cloud-Native — Deployable locally with Docker Compose or to cloud platforms like Azure AKS using Kubernetes and Helm.
- 🧠 AI-First Design — Designed with AI/ML in mind: recommendation engine, intelligent chatbot, and NLP services are core to the vision.
- ⚙️ DevOps with GitHub Actions — Full CI/CD automation with GitHub Actions and reusable workflows across all microservices.
- 🗃️ Polyglot Persistence — Uses SQL, NoSQL, key-value, and graph databases — chosen based on the nature of each service's data.
- 🔐 Authentication & Authorization — Supports secure login via email/password and OAuth2 (Google, Facebook, Twitter), JWT authentication, and role-based access control.
- 📡 API-First & Event-Driven — RESTful APIs and asynchronous communication using message queues for scalability and loose coupling.
- 🌐 Polyglot Architecture: Each service uses the technology best suited for its requirements
- 🔄 Event-Driven Communication: Services communicate via message queues and events
- 📊 Comprehensive Audit Logging: Full activity tracking and compliance monitoring
- 🔒 Multi-Factor Authentication: Enhanced security with OTP and account linking
- ⚡ High-Performance Services: Go-based inventory service for speed-critical operations
- 🎯 Saga Pattern: Distributed transaction management in order processing
- 📈 Scalable Data Storage: PostgreSQL, MongoDB, and Redis for different data patterns
- 🛡️ Security-First Design: JWT authentication, service-to-service tokens, and audit trails
Each microservice is hosted in its own GitHub repository for separation of concerns, independent scalability, and streamlined DevOps workflows. The platform demonstrates a polyglot architecture with different technologies chosen for each service's specific requirements:
| Service | Technology | Description |
|---|---|---|
| 🔐 auth-service | Node.js + Express | Handles authentication, MFA, social login (OAuth2), and JWT issuance |
| 👤 user-service | Node.js + Express | Manages user profiles, identity records, preferences, and account linking |
| �️ admin-service | Node.js + Express | Back-office operations, dashboard, analytics, and user management |
| 📋 audit-service | Node.js + TypeScript | Comprehensive audit logging, compliance tracking, and activity monitoring |
| 🛍️ product-service | Python + FastAPI | Handles product catalog, categories, attributes, search, and recommendations |
| � inventory-service | Go + Gin | High-performance inventory management, stock tracking, and reservations |
| 🧾 order-service | .NET 8 + ASP.NET Core | Order creation, validation, and lifecycle management |
| � payment-service | .NET 8 + ASP.NET Core | Payment processing, gateway integration, and transaction security |
| ⚙️ order-processor-service | Java + Spring Boot | Asynchronous order processing with saga pattern and event sourcing |
| 📣 notification-service | Node.js + Express | Multi-channel notifications (email, SMS, push, WebSocket) |
| Service | Technology | Description |
|---|---|---|
| � cart-service | Node.js/Redis | Shopping cart management and session handling |
| ⭐ review-service | Python + FastAPI | Product reviews, ratings, and sentiment analysis |
| 🤖 recommendation-service | Python + ML/AI | AI-powered product recommendations and personalization |
| 🔍 search-service | Elasticsearch | Advanced product search with filters and facets |
| 📊 analytics-service | Python + Apache Spark | Business intelligence and real-time analytics |
MIT License — feel free to use, extend, and modify.
