M u l t i V e n d o r M a r k e t p l a c e

System Architecture

1. Frontend Integration

The frontend is designed with a mobile-first approach, ensuring a responsive and user-friendly interface on all devices. The platform uses React.js in combination with Next.js to allow server-side rendering (SSR) and static site generation (SSG), which significantly boosts SEO performance and load times.

Key Features:

• Predictive Search & Filters: Using React Query and GraphQL, the frontend interacts with the backend to fetch and filter product data in real-time, delivering a fast and responsive user experience.

• Real-time Messaging: Socket.IO facilitates instant communication between buyers and vendors, ensuring that queries and leads are handled in real-time.

• Multi-Language Support: i18next is integrated to allow seamless translation of product listings and interactions in multiple languages.

2. Backend Integration

The backend is built using Django, one of the most robust and scalable web frameworks, paired with Django Rest Framework (DRF) to expose RESTful APIs. These APIs handle everything from product listings, user authentication, to real-time chat functionality. Django also integrates with Celery to manage background tasks like notifications, order processing, and generating reports.

Key Features:

• Product Management: Vendors can upload their product catalogs through easy-to-use forms, which are stored in a PostgreSQL database and accessed through optimized APIs.

• Authentication & Security: User authentication is handled using JWT (JSON Web Tokens), ensuring secure login, registration, and authorization. Multi-factor authentication (MFA) is implemented to enhance platform security.

• Real-time Data: Django Channels handles WebSocket connections, enabling real-time messaging between vendors and buyers. All messages are stored in Redis for fast access and processing.

3. Database & Scalability

For database management, we use PostgreSQL, which is well-known for its scalability, data integrity, and complex query optimization. PostgreSQL is complemented by Redis for caching frequently accessed data and session management, improving performance under heavy load.

Key Features:

• Horizontal Scaling: PostgreSQL’s support for read replicas enables horizontal scaling for handling multiple read requests simultaneously without overloading the main database.

• Partitioning & Sharding: Large datasets such as product catalogs are partitioned to optimize query performance.

• Session Management with Redis: User sessions and product recommendations are cached in Redis, reducing the load on the database and speeding up response times.

4. Payment Integration

Stripe is integrated into the platform for secure payment processing. Stripe APIs handle subscription management, one-time payments, and refunds. Transactions are tracked in the system and processed asynchronously using Celery, ensuring smooth operations even during peak traffic.

Key Features:

• Subscription Plans: Vendors can choose from various subscription plans (Basic, Silver, Gold) with tiered features.

• Secure Transactions: All payments are processed securely via Razorpay, with real-time status updates sent to both buyers and vendors.

5. Real-Time Features & Notifications

Real-time Messaging & Notifications:
The platform integrates WebSockets via Django Channels to provide real-time chat functionality. Buyers and vendors can communicate instantly, and any updates related to orders, products, or system status are delivered through push notifications.

Key Features:

• Instant Communication: Buyers and vendors can chat in real-time, discuss product details, and finalize transactions swiftly.

• Push Notifications: The platform sends notifications for important updates, such as order status changes, lead generation, or new messages. Django-Push-Notifications handles the integration.

6. Cloud Infrastructure & Scaling

The platform is designed for scalability using Docker and Kubernetes, ensuring that it can handle millions of users concurrently without performance degradation. The application is containerized with Docker, which enables easy deployment and scaling on cloud services like AWS or Google Cloud.

Key Features:

• Load Balancing: Traffic is distributed evenly across multiple application instances using Nginx or HAProxy, preventing any single server from becoming a bottleneck.

• Auto-Scaling: Kubernetes automatically adjusts the number of running containers based on traffic, ensuring high availability and minimal downtime.

Integration Flow

1. User Registration & Authentication:

   • Users (buyers and vendors) register through a secure form powered by Django-Allauth and JWT for token-based authentication.

   • Multi-language support ensures seamless user registration and navigation in various regions.

2. Product Discovery & Filtering:

   • Buyers use React Query and GraphQL to search and filter products from the database, with results served instantly.

   • The frontend interacts with the backend APIs to fetch product listings based on dynamic filters like GSM, fabric type, MOQ, etc.

3. Order Placement & Payment:

   • Once a buyer selects products, they proceed to checkout, where Razorpay handles payments.

   • Payment status is updated in the backend asynchronously using Celery.

4. Vendor Dashboard:

   • Vendors manage their product listings, view leads, and track performance through an intuitive dashboard.

   • Notifications alert vendors about new messages, orders, or changes in product status.

5. Real-Time Communication:

   • Buyers and vendors communicate through WebSockets managed by Django Channels.

   • All messages are stored in Redis for efficient access and scalability.