Style Vogue

Work summary

Designed and developed the Style Vogue storefront from the ground up, translating the brand direction into a responsive e-commerce experience. Work included interface architecture, reusable frontend components, product browsing, dynamic product pages, variant-aware cart functionality, checkout flows, responsive behavior, database architecture and the foundation for administrative content and commerce management.

Responsibilities

• • Frontend architecture and implementation
• • Responsive UI development
• • UI/UX implementation
• • E-commerce storefront development
• • Product and category experience
• • Product variant selection
• • Cart architecture and state management
• • Checkout workflow development
• • Database architecture
• • Supabase integration
• • Prisma data modeling
• • Admin/CMS foundation
• • Performance optimization
• • Responsive testing
• • Production deployment

Contribution

Led the end-to-end implementation of the platform, from product architecture and interface development through commerce functionality, database modeling and production deployment. I established the reusable frontend system, implemented responsive storefront interactions, developed the cart and checkout experience, designed the underlying commerce data structure and prepared the application for future administrative and payment capabilities.

Frontend

Built the storefront using Next.js, React and TypeScript with a reusable component architecture. Developed the homepage, shop interface, category filtering, product-detail pages, product variant controls, cart, checkout and order-confirmation experiences. Implemented responsive image handling, mobile navigation, interaction states and editorial motion while maintaining a consistent luxury-fashion visual language.

Backend

Established the backend and data foundation for a scalable commerce application using Supabase, PostgreSQL and Prisma. Structured data models for products, variants, categories, collections, customers, orders, order items, payments, promotions, newsletter subscribers, inquiries, administrators and site settings.

Database

Designed a relational commerce data model capable of supporting product catalogs, product variants, categories, collections, customers, order records, immutable order-item snapshots, payments, promotions, newsletter subscriptions, inquiries, administrative users and configurable site content.

Integrations

Integrated Supabase as the database and application backend foundation, Prisma for structured relational data access and Vercel for production hosting and deployment. The architecture was designed to accommodate additional payment, fulfillment and commerce integrations as the platform evolves.

UI / UX

Created a premium editorial commerce experience inspired by contemporary luxury fashion storefronts. The visual system uses ivory, black, warm beige and taupe with restrained accent tones, large fashion imagery, generous whitespace and strong typographic hierarchy. Particular attention was given to mobile usability, product interaction states, category discovery, product selection, cart clarity and checkout flow.

Technical overview

Style Vogue uses a modern Next.js App Router architecture with React and TypeScript on the frontend. The commerce interface is component-driven and responsive, while Supabase PostgreSQL and Prisma provide the foundation for persistent commerce data. The architecture separates storefront presentation, commerce state and database concerns to support future expansion.

Architecture

The application uses reusable storefront components and dynamic routes for product experiences. Product variants are modeled independently to support size, color and stock-aware commerce behavior. Cart lines preserve variant identity, while the database architecture separates catalog, customer, order and payment concerns for maintainability and future expansion.

State management

The cart uses client-side state with synchronization mechanisms to maintain product and variant selections. Cart lines are variant-aware, quantities respect available inventory, and cross-tab synchronization keeps the shopping state consistent across browser sessions.

Data flow

Storefront interactions move from product discovery through variant selection into cart state and checkout. Commerce records are structured around products, variants, customers, orders, order items and payments, creating a foundation for persistent transaction processing and future administrative workflows.

Performance

The application uses Next.js optimized rendering and responsive image handling to support fast, image-heavy fashion pages. Reusable components and responsive layouts reduce unnecessary duplication while maintaining a consistent storefront experience.

Responsive design

The storefront was designed and tested for desktop, tablet and mobile experiences, with responsive navigation, product grids, imagery, product controls, cart layouts and checkout forms.

Testing / QA

Functional testing covered navigation, product browsing, category filters, product variant selection, quantity controls, cart operations, checkout validation, responsive layouts and production deployment behavior.

Infrastructure

The application is deployed through Vercel with Git-based source control and production deployment workflows. Supabase provides the PostgreSQL backend infrastructure, while Prisma provides the relational data-modeling layer.

Hosting

Vercel

Deployment

Production deployments are managed through Vercel from the project's Git repository, providing optimized Next.js builds and a repeatable deployment workflow.

Skills

• Next.js
• React
• TypeScript
• Tailwind CSS
• Supabase
• PostgreSQL
• Prisma ORM
• Responsive Web Design
• Frontend Development
• Full-Stack Development
• E-commerce Development
• UI Engineering
• UI/UX Implementation
• Database Design
• State Management
• Git
• GitHub
• Vercel
• Performance Optimization
• Responsive Testing

Outcome summary

The result is a production-deployed fashion commerce experience that combines a premium editorial interface with functional product discovery, variant-aware shopping, cart and checkout workflows. The project also establishes a scalable technical foundation for continued development of inventory management, order administration, content management and payment capabilities.