Editorial fashion commerce UX
Fashion & ecommerce
Collections, lookbooks, wishlist & Stripe checkout

Atelier Lune is a premium fashion brand storefront. Collections, product detail, shoppable lookbooks and a polished cart journey present the brand as editorial commerce rather than a generic catalogue.
Editorial fashion commerce UX
Shoppable lookbook system
Stripe-hosted checkout
Full merchandising admin
Collection merchandising — filterable collections with category, colour and size-aware browsing.
Shoppable lookbooks — chaptered look experiences with product hotspots aligned to photography.
Persistent bag — Redux cart with local persistence, quantity edits and an accessible drawer.
Stripe checkout — server-authoritative pricing, shipping calculation and transactional stock reservation.
Brand operations — admin for products, variants, campaigns, journal publishing and store locator content.
Client → server → data → deploy — the delivery spine behind the experience.
Next.js storefront — collections, lookbooks & bag drawer
NestJS shop APIs — pricing, stock & merchandising
PostgreSQL via Prisma — products, variants, orders & campaigns
Netlify frontend · Dockerised API on Render
Atelier Lune is a premium fashion brand storefront. Collections, product detail, shoppable lookbooks and a polished cart journey present the brand as editorial commerce rather than a generic catalogue.
Browse collections or lookbooks, open a garment, add pieces to the bag, sign in for wishlist and order history, then complete Stripe-hosted checkout.
Editorial photography and material-aware search set a luxury tone, while commerce mechanics stay precise. Campaign carousels, mega-menu navigation and journal storytelling keep discovery rich without burying purchase actions.
Next.js storefront with NestJS shop APIs, Prisma models for products, variants, media, lookbooks, orders and campaigns, JWT sessions, image upload pipelines that re-encode WebP/JPEG safely, Dockerised Postgres-backed API on Render and Netlify frontend hosting.
Core strengths demonstrated in this build:
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