Case study — 01
Darzito
From a tailoring idea to a live digital product — designed and built end-to-end with AI-assisted workflows.
03 Days
Build timeline (Idea → Launch)
01 Designer
Strategy → Product → Launch
AI-Assisted
Design + Development + Creative
Live Product
Website + Mobile + Admin
01 — The Idea
The problem wasn't tailoring. It was the experience around it.
The traditional tailoring path (frustrating)
The Darzito solution (seamless)
Step 01
Book Experience Online
Step 02
Fabric Pickup
Step 03
Experienced Tailoring
Step 04
On-time Delivery
02 — My Role
One person. Multiple disciplines.
Product Strategy
Defined the end-to-end product experience, service blueprint, and target user personas.
UX Design
Designed customer flows, contextual wireframes, and information architecture systems.
UI Design
Crafted visual styles, component libraries, typography hierarchy, and UI elements.
Brand Identity
Created the logo mark, selected the color strategy, and defined guidelines.
Technology
Explored AI-assisted coding models to craft rapid functional prototypes.
Growth
Developed marketing assets, campaign creative direction, and waitlist funnels.
03 — UX Strategy
Start with the journey. Then design the interface.
- Discover
- Select Service
- Details
- Pickup
- Payment
- Track
- Delivery
04 — Architecture
One customer experience. Multiple products behind it.
Customer Tier
- •Public Website
- •Bespoke Mobile App
- •Direct Booking Module
- •Transparent Payments Flow
- •Live Order Tracking
Operations Tier
- •Core Administration Dashboard
- •Order Queue Manager
- •Consolidated Customer Profiles
- •Booking Status Engine
- •Updates Dispatch System
Service Tier
- •Courier Pickup Coordination
- •Artisanal Tailoring Integration
- •Secure Packaging & Shipping
- •On-time Delivery Log
05 — Interface
Simple on the surface. Thoughtful underneath.
06 — Tech Reality
Design didn't stop at Figma.
Figma
Product design and interface design
Figma Make
Design / prototyping / website creation
Lovable
AI-assisted product development
Supabase
Database / backend infrastructure
Vercel
Deployment / hosting
Razorpay
Payment infrastructure
Prototype-to-production pipeline
- Idea→
- AI Exploration→
- Design→
- Prototype→
- Build→
- Test→
- Launch
AI was used throughout the workflow for ideation, content, design exploration, development assistance and creative production.
07 — AI Workflow
AI wasn't the product. It was the multiplier.
Traditional pipeline (complex)
- 01Idea
- 02Design
- 03Handoff
- 04Development
- 05Revision
- 06Repeat
AI-assisted pipeline (efficient)
- 01Idea
- 02Explore
- 03Prototype
- 04Build
- 05Test
- 06Iterate
What AI accelerated:
Key statement: AI did not replace design thinking. It reduced the distance between an idea and a working product.
08 — Reflection
What changed for me?
01
Design and development are becoming closer. When designers can prototype and build faster, ideas can be validated earlier.
02
AI changes the speed of exploration. The advantage is not generating more screens. The advantage is exploring better directions faster.
03
Product thinking matters more than individual screens. The real design challenge was connecting customer, operations, payments and service delivery into one coherent experience.
04
Constraints can accelerate creativity. Working with limited time forced sharper prioritisation and faster decision-making.
19 — Senior Leadership
What I brought to Darzito wasn't just design.
I moved between product strategy, UX, visual design, technology and marketing without losing sight of the customer journey. That end-to-end perspective is what I bring to senior product design leadership.
From idea to experience.
Darzito was an experiment in how far one designer can take a product when design thinking, technology and AI work together.
Darzito App