Doorstep booking funnel
Schedule Pickup form with Zod validation — contact, service type, item count, and address — so the first commitment is a real pickup request, not a vague enquiry.
Web · 2026
Zamosh
Premium laundry marketplace — service catalog, vendor discovery, and doorstep pickup booking
Next.jsTypeScriptTailwind CSSReact Hook FormZodNetlify
Overview
Zamosh is a laundry and dry-cleaning brand that needed more than a brochure site. The job customers hire it for is simple: get clothes cleaned without leaving home — and trust that someone competent will handle jackets, sarees, sneakers, and bridal wear.
I built the marketing + booking surface in Next.js (App Router) with TypeScript and Tailwind. The homepage leads with a conversion-first hero — premium care, free pickup, same-day options — then preference CTAs for men's and women's wear so the first click feels personal, not like browsing a catalog of six equal options.
Six service pages (Premium Laundry, Dry Cleaning, Shoe Laundry, Bridal Care, Winter Clothes, Leather Care) share a pattern: full-bleed service hero, about copy, feature checklists, and JSON-driven pricing so ops can update rates without a redeploy. A Find Vendors flow lets people compare trusted cleaners by location and rating before they commit — social proof and choice architecture without Paradox-of-Choice overload.
The Schedule Pickup form is the activation step: contact details, service type, item count, gender preference, and address — validated with React Hook Form + Zod so incomplete bookings don't reach ops. How We Work (Schedule → Pickup → Clean → Deliver) and Most Requested Items pricing cards reduce uncertainty before the form.
Stack: Next.js App Router, TypeScript, Tailwind CSS, Lucide icons, React Hook Form, Zod. Services, pricing, and vendors live in JSON data files for content edits without code changes.
Highlights
- Hero with men's/women's wear preference CTAs and free pickup messaging
- Six service cards with Learn More deep links into dedicated service pages
- How We Work — Schedule, Pickup, Clean, Deliver — with Most Requested Items pricing grid
- Find Vendors marketplace — filters, rating slider, sort, and vendor cards with reviews
- Winter Clothes Care and other service detail pages with feature checklists
- Schedule Pickup form — contact, service details, and validated booking fields
Technical depth
What I engineered
Systems and patterns behind Zamosh— the parts that don't show in a screenshot.
Vendor marketplace
Find Vendors with search, location filter, rating slider, and sort — compare trusted cleaners before booking instead of a single opaque provider.
Six service verticals
JSON-driven pages for laundry, dry clean, shoes, bridal, winter, and leather — shared layout, per-service heroes, features, and pricing tables.
Conversion-led homepage
Hero preference CTAs, How We Work steps, and Most Requested Items pricing — reduce activation energy and make the next click obvious.
Walkthrough
Inside the build
Key screens from Zamosh — what I built and why it mattered.
01
Conversion-first hero
Premium laundry at your doorstep — trust bullets, then Men's Wear / Women's Wear preference buttons so the first choice feels personal before browsing all services.
02
Service catalog
Six verticals in one scan — Premium Laundry, Dry Cleaning, Shoe Laundry, Bridal Care, Winter Clothes, Leather Care — each with a Learn More path into a dedicated page.
03
Process + quick pricing
Schedule → Pickup → Clean → Deliver lowers uncertainty. Most Requested Items (shirts, jeans, sarees, sneakers) anchors price expectations before the booking form.
04
Vendor discovery
Search, location, and minimum-rating filters beside vendor cards with review scores — marketplace trust signals so customers pick a cleaner, not just a brand name.
05
Service deep dive
Full-bleed service hero, about copy, and a What We Provide checklist — wool care, moth protection, down re-fluffing — so specialty garments feel handled, not generic.
06
Pickup booking
Contact info plus service type, item count, and gender preference — the activation step that turns browsing into a doorstep collection request.