WyshKit.
Opportunity Problem Key Decision Product Impact Back to Portfolio
Case Study

WyshKit

Quick commerce gifting marketplace — personalised gifts delivered in 40 minutes, with a pay-first customisation flow that changes everything.

WyshKit vendor storefront
WyshKit home screen
WyshKit preview review
Project WyshKit
Platform Mobile App (iOS / Android)
Category Quick Commerce / Gifting
Role Product Designer
Market Size $92B by 2030

Project
Background

WyshKit is a quick commerce gifting marketplace for India — fusing Swiggy-like vendor discovery with gifting-specific curation and personalisation. It enables seamless B2C experiences for personalised gifts, hampers, and bulk orders, with 40-minute hyperlocal delivery.

I owned the end-to-end product design — from the discovery experience and cross-listing architecture to the checkout flow, order tracking, and the customisation pipeline. The goal was to build a platform where vendors expand offerings without inventory ownership, and users get authentic, personalised gifts delivered at quick-commerce speed.

The opportunity at a glance

📦 THE MARKET GAP

India's gifting market is valued at $92B by 2030, but traditional platforms (FNP, IGP) lag with delays. Quick commerce is booming ($57B) via Blinkit — but none focus on personalized gifting with vendor curation.

🎯 WHAT I OWNED

End-to-end product design for a mobile marketplace — vendor discovery, product detail pages, the personalisation-to-preview pipeline, checkout, order tracking, feedback loops, and the design system.

💡 THE BET

Pay first, preview after — a counterintuitive order flow that filters out uncommitted buyers before they enter the customisation loop, reducing vendor effort and making the pipeline predictable.

🔍

The customisation loop
was breaking at scale

In the traditional gifting model, personalisation is manual and expensive. Clients request customisation, vendors create samples, revisions go back and forth — and many orders drop off during this cycle. The process doesn't scale.

Traditional Flow

How gifting worked before

1 Customer browses and requests customisation
2 Vendor creates a physical sample or preview
3 Customer reviews, requests changes
4 Multiple revision rounds — vendor effort wasted
5 Customer drops off — no payment committed
⚠️ High drop-off rate. Vendors waste time on uncommitted customers. Not scalable.
WyshKit Flow

How we redesigned it

1 Customer browses, selects personalisation options
2 Completes payment first — commitment locked
3 Shares customisation details (text, photos, logo)
4 Vendor creates digital preview — customer approves or requests one revision
5 Production begins → Delivery in 40 min (hyperlocal)
✓ Only committed customers enter the loop. Vendor effort drops. Pipeline becomes predictable.
⭐ The Key Design Decision

Pay first, preview after — the decision that made customisation scalable

I redesigned the order flow so payment happens before the preview. This single decision filtered out uncommitted buyers, reduced unnecessary vendor iterations, and created a predictable order pipeline.

🔍 Browse
Customise
💳 Pay First
📝 Share Details
👁️ Preview
🤝 Approve
🚀 Deliver
Checkout — payment commitment Payment before preview
Share customisation details Share details post-payment
Preview review — approve or revise Preview — approve or revise
Live delivery tracking Live tracking → delivery

Reduced drop-offs

Only paid customers enter the customisation loop. Vendors no longer waste effort on uncommitted browsers — every preview request has a committed buyer behind it.

Fewer revision cycles

With financial commitment upfront, customers provide clear, complete requirements. Back-and-forth decreased significantly — most orders approved on first or second preview.

Predictable pipeline

Revenue is locked before production starts. Vendors can forecast workload accurately, and the platform has cleaner order tracking and fulfilment metrics.

📱

Production Screens

Every screen maps back to a product decision. The design follows how users think — discover, evaluate, commit, customise, track, review.

Home & Discovery

Vendor-first discovery — like Swiggy, but for gifts

Search shows nearest vendors first. Products appear from their own listings or cross-listed brand catalogue. Category filters (Fresh, Bulk, Essentials) mirror how users actually shop for gifts — by occasion and type, not by SKU.

WyshKit Home — vendor-first discovery Home — nearest vendors, categories, seasonal picks
Address selection bottom sheet Address selection — hyperlocal context
Vendor storefront — The Artisan Larder Vendor storefront — curated product grid
Product Detail

Where personalisation begins

The PDP borrows from Zepto's swipeable image pattern but adds gifting-specific elements: gift wrapping (+₹50), custom message card (+₹15). A key design choice — the info callout clearly states "details will be collected after payment," setting expectations early for the pay-first flow.

Product detail — top section with images and pricing PDP — product images, pricing, delivery ETA
Product detail — personalisation options and description Personalisation options — gift wrap, custom card
Search
Search — recent queries Search — recent queries, product and brand search
Checkout & Payment

The commitment point

This is where the pay-first model comes alive. The checkout shows order summary, delivery address, and payment methods. Bill details include platform fee, delivery, and WyshCredits — modelled after Blinkit's pricing transparency. 100% advance for custom/bulk orders — no COD.

Checkout — order summary and payment Checkout — order summary, address, payment
Payment methods — UPI, cards, wallets, COD Payment methods — UPI, cards, wallets, COD
Bill details — tax, fees, credits Bill details — GSTIN, estimates, credits
The Customisation Loop

Post-payment personalisation — the core flow

After payment, the user enters the customisation pipeline. They share engraving text, reference photos, and logos. The vendor creates a digital preview ("Elite Handshake"). Users approve or request a single revision — all within the order tracking timeline. A timer enforces priority production SLAs.

Order placed confirmation Order confirmed — vendor acknowledged
Share customisation details — empty state Share details — name, photo upload
Share customisation details — filled state Details submitted — photo uploaded
Preview review — approve or request revision Preview review — approve or revise
Request revision form Revision request — describe changes
Live delivery tracking with map Live tracking — out for delivery
Feedback & Accuracy

Closing the loop — did it match the preview?

Post-delivery, users rate each item and answer an accuracy query: "Did it match your preview?" This creates a quality signal for vendor accountability and fuels the WyshCredits rewards system (₹50–₹250 based on order value). It also validates whether the pay-first model actually delivers the right outcomes.

Order delivered — experience and accuracy rating Delivered — accuracy query + item rating
Full feedback — vendor, delivery, accuracy Full feedback — vendor service + delivery
Order Management

Active orders, past orders — at a glance

The orders screen surfaces real-time status badges — "Share Details," "Preparing," "Handshake Review" — directly on order cards. Users can track, reorder, or download invoices without navigating deep. Progress bars show where each order sits in the pipeline.

Active orders with status badges Active orders — status badges, progress bars
Past orders — delivered, cancelled, refunded Past orders — reorder, invoice download
Account

WyshCredits, addresses, settings — all in one place

The account page surfaces WyshCredits balance prominently — a retention mechanism where post-feedback credits (₹50–₹250) drive repeat purchases. Settings are cleanly grouped with descriptive subtext, following conventions from Swiggy and Blinkit.

Account page — profile, credits, settings Account — Elite Member, ₹150 WyshCredits
Add new address form Address form — structured for hyperlocal delivery

Strategic choices that
shaped the product

Every feature decision traced back to a user need or business constraint. Here's what I prioritised — and why.

Vendor-first discovery → trust over selection

Showing nearest vendors first (like Swiggy) builds trust through locality and "100% Authentic" badges. Cross-listing details hidden from UI — users don't need to know if a Boat speaker comes via a gifting vendor. They need to trust it's authentic.

Personalisation details after payment → serious buyers only

By collecting customisation inputs post-payment, we ensured only committed customers enter the vendor's production queue. This isn't about locking users in — it's about respecting vendor effort and making the pipeline scalable.

Multi-cart architecture → parallel ordering

Independent vendor tabs for parallel cart management. No preview blocking — users can continue shopping while one vendor prepares a preview. Partial or consolidated checkout, modelled after how Swiggy handles multiple restaurant orders.

WyshCredits as a feedback loop → retention + quality

Post-delivery credits (₹50 for ₹5K+, ₹100 for ₹15K+, ₹250 for ₹50K+) serve a dual purpose: incentivise repeat orders and drive feedback that holds vendors accountable. The "Did it match your preview?" query is the quality anchor.

📊

What the Work Enabled

The pay-first model wasn't just a design choice — it was an operational decision that reshaped how the business works. Here's what it enabled.

Streamlined operations

Vendors no longer invest effort in uncommitted customers. Every customisation request now has a paid order behind it — the production queue is clean and predictable.

Reduced preview-stage drop-offs

By moving payment before the preview, the traditional drop-off point is eliminated. Customers who pay are invested — they complete the loop.

Scalable customisation pipeline

The digital preview system (Elite Handshake) with structured approve/revise actions replaces manual back-and-forth. It works at any order volume — not just the first 10 vendors.

Predictable order pipeline

Revenue is locked before production starts. Realistic success rates of 93–98% (comparable to Zomato's 95% order completion) with clear tracking of drop-offs from stock-outs (2–3%) or preview delays (1–2%).

The smartest design decision was making payment the gateway to personalisation — not the other way around.

This single choice made everything downstream predictable.
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