KB

Mizviv Hairs Online-store Platform

A full-stack e-commerce solution built with Next.js 13, TypeScript, Redux, and Django REST Framework, specifically designed for the hair and beauty industry. This platform features advanced product filtering tailored to hair products, real-time inventory management, multi-currency support, and a comprehensive admin dashboard with analytics....

    Tech Stack

    1. Backend: Django & Django REST Framework
      Cloudinary
    2. Frontend: Next.js 13, TypeScript,
      Tanstack React Query
      Redux Toolkit, Tailwind CSS
    3. Database: PostgreSQL, Redis

Live Site

Github

Project picture

    Core Features:

  • Advanced Product Discovery System
  • Developed a sophisticated filtering engine specifically tailored for hair products, allowing customers to filter by:

    • Hair type (human hair, virgin, single donor)
    • Style categories (straight, wavy, curly)
    • Price ranges with dynamic updates

    The system processes multiple filter combinations in under 200ms, maintaining responsiveness even with thousands of products.

  • Intelligent Shopping Cart & Checkout
  • Engineered a persistent cart system that:

    • Synchronizes guest carts upon login
    • Validates stock availability in real-time
    • Calculates dynamic shipping based on destination
    • Supports Paystack
    • Implements retry logic for payment failures with exponential backoff
  • Comprehensive Admin Dashboard
  • Built a powerful administration interface featuring:

    • Real-time analytics with revenue tracking and conversion metrics
    • Validates stock availability in real-time
    • Order processing workflows with status tracking
    • Customer relationship management tools
    • Flash sale creation and management
    • Bulk operations for efficient product updates
  • Performance Optimizations
    • Implemented lazy loading and code splitting, reducing initial bundle size by 60%
    • Utilized React Query for intelligent data caching and background refetching
    • Optimized database queries with select_related and prefetch_related
    • Integrated CDN for static assets with edge caching

Why The Web Stack

  • I chose Django for its robust authentication system and built-in admin interface. The Django REST Framework Offers rapid API development with built-in serialization. The mature ecosystem provides established solutions for common e-commerce requirements.
  • Django
  • I chose postgreSQL for its advanced indexing capabilities and JSONB support, which was critical for storing complex product data and analytics. Its robust transaction handling ensures data integrity during high-volume operations.
  • PostgreSQL
  • TypeScript was non-negotiable because of the need to eliminate runtime errors.
  • TypeScript
Single product page image
Single product page image
Single product page image

Challenges & Solutions

Challenge: Complex State Synchronization

Problem: Managing cart state across authenticated and guest users.

Solution: Developed a hybrid state management approach using Redux for in-memory storage with a seamless transition system that merges guest carts upon authentication.

Challenge: Real-time Inventory Management

Problem: Preventing overselling while multiple users shop simultaneously, especially during flash sales.

Solution: Implemented optimistic UI updates with server-side validation, database-level constraints, and a reservation system that temporarily holds items during checkout. Used PostgreSQL's row-level locking for critical inventory operations.

frontend admin dashboard page image

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Let’s Build Together

Feel free to reach to me if you are looking for a developer or maybe you just want to connect.

ken.bassey9@gmail.com