Luna By Navneet

Designed and developed a full-stack e-commerce website for LUNA by Navneet & Navjot — a premium designer Punjabi suit boutique based in Talwandi Sabo, Bathinda, Punjab. My role was the full Next.js build: a modern boutique website that lets customers across Punjab, Canada, UK, and USA browse designer Punjabi suit collections, filter by fabric type (cotton, silk, velvet, pashmina, georgette, chikan, rayon), and directly book appointments or contact via WhatsApp — enabling the boutique to serve both local Bathinda shoppers and international NRI customers online. The site was built to feel like a premium fashion e-commerce experience rather than a basic brochure site, with a video showcase, curated collections, and a clean product browsing flow suited to how customers actually shop for designer suits.

Built with Next.js (App Router) for performance and SEO, with server-side rendering and rich metadata optimisation targeting local boutique fashion searches across Bathinda, the Malwa region, and NRI markets in Canada, UK, and the USA. The site includes a video showcase section — since designer suit buying decisions are heavily visual — a product listing with fabric-type category filters, a customer testimonials carousel, and a structured FAQ section for organic search visibility. Every product and collection page was structured with clean, descriptive metadata and JSON-LD schema so Google could understand and surface the boutique's fabric categories and collections directly in search results. Delivered a production-ready, mobile-first website with fast load times, a clean modern UI, and a strong Google search presence for competitive local fashion keywords, giving the boutique an e-commerce presence that matches the premium quality of the product itself.

A boutique catalog lives or dies on image quality, but heavy, unoptimised product photography is exactly what kills mobile load times. I built the product and category pages around next/image with responsive sizes so each device pulls an appropriately sized asset instead of one oversized master image. The other real challenge was making category filters both fast and SEO-visible — a purely client-side filter UI is invisible to Google, so I drove filter state through the URL, which let filtered fabric-type views get indexed as their own pages while still feeling instant to the user. Combined with SSR and font optimisation, that got the site to a 98 Lighthouse SEO score and sub-1.5s LCP despite the heavy visual content. Getting local fashion keywords to actually rank also meant writing product and category metadata that matched how real customers search — phrases like "Punjabi suit boutique Bathinda" rather than generic fashion terms — instead of relying on site structure alone to carry the SEO.