tough-ecommerce System Requirements Document

Introduction

The "tough-ecommerce" project is an innovative ecommerce platform tailored for a modern fashion and streetwear audience, primarily targeting Gen Z and young adults. The platform aims to provide a seamless online shopping experience with AI-powered features, making it a standout project for high-package companies.

System Overview

The tough-ecommerce platform is designed to integrate modern UI/UX principles with full-stack development and AI capabilities. It will feature personalized recommendations, smart search, responsive design, secure payments, and real-time order tracking. The system will support multiple user roles, including Customers, Administrators, and optionally Sellers/Vendors, to ensure scalability and comprehensive management.

Functional Requirements

• As a Customer, I should be able to browse products and use AI-powered search.
• As a Customer, I should be able to manage my cart and wishlist.
• As a Customer, I should be able to place orders and track deliveries.
• As a Customer, I should receive personalized product recommendations.
• As an Administrator, I should be able to manage products, users, inventory, orders, payments, analytics, banners, and overall platform activity.
• As a Seller/Vendor, I should be able to upload products, manage stock, and monitor sales performance.
• As a User, I should be able to use a smart AI search with natural language queries.
• As a User, I should be able to interact with an AI Fashion Assistant Chatbot.
• As a User, I should be able to perform a visual similarity search by uploading an image.
• As an Admin, I should receive AI-based insights on popular products, sales trends, and customer behavior.

User Personas

• Customer: Individuals interested in modern fashion and streetwear, primarily Gen Z and young adults.
• Administrator: Personnel responsible for managing the platform's operations, including product listings, user management, and analytics.
• Seller/Vendor: Optional role for users who upload and manage their own products on the platform.

Visuals Colors and Theme

• primary: #1A73E8 (Deep Blue)
• primary_light: #E8F0FE (Light Blue)
• secondary: #FF6F61 (Coral)
• accent: #FFD700 (Gold)
• highlight: #FFA500 (Orange)
• bg: #FFFFFF (White)
• surface: rgba(240, 240, 240, 0.8)
• text: #333333 (Dark Gray)
• text_muted: #777777 (Gray)
• border: rgba(200, 200, 200, 0.5)

Signature Design Concept

The homepage of tough-ecommerce will feature an interactive "Fashion Galaxy" concept. Users will navigate through a 3D galaxy map where each star represents a fashion category or trending product. By clicking on a star, users can explore related products, while dragging rotates the galaxy for a dynamic browsing experience. Hovering over stars highlights connections to similar styles, creating an engaging and exploratory shopping journey. This concept will be implemented using @react-three/fiber and @react-three/drei for 3D interactions, with gsap for smooth animations and transitions.

Interaction Model & Motion Direction

The landing page will utilize a "parallax" interaction model, providing a layered depth experience as users scroll. Decorative elements like atmospheric blobs and distant shapes will move at different speeds, enhancing the storytelling aspect. Internal pages such as dashboards and settings will maintain a "static" interaction model for clarity and ease of use.

Non-Functional Requirements

• The system must ensure data security and user privacy.
• The platform should be responsive and accessible across various devices and screen sizes.
• The system should handle high traffic and concurrent users efficiently.
• The AI features should provide accurate and relevant recommendations and insights.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB, with alembic for migrations
• AI Models: GPT 5.4 for user-friendly responses, Google Nano banana for image generation
• AI Tools: Litellm for LLM Routing, Langchain
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• The platform will initially target the Indian market, with currency and payment systems tailored accordingly.
• The system will prioritize scalability to accommodate future growth and additional features.
• AI functionalities will rely on available models and tools, subject to their capabilities and limitations.

Glossary

• AI: Artificial Intelligence
• CRUD: Create, Read, Update, Delete
• UI/UX: User Interface/User Experience
• LLM: Large Language Model
• RDBMS: Relational Database Management System

This document outlines the comprehensive system requirements for the tough-ecommerce project, ensuring a robust and innovative platform that aligns with modern ecommerce trends and user expectations.