← Back to home

Case Study

Digital Atelier

Defining and building an AI fashion stylist by aligning product strategy, design, and engineering from the start.

Product Strategy Experience Design Engineering Implementation System Design

A strong idea without a clear foundation

Digital Atelier started as a strong idea. The founder had a clear vision for an AI-powered fashion stylist. Early designs existed and the direction felt right. But translating that into a real product proved difficult.

AI tools made it easy to generate pieces of the experience. But not a cohesive product. Each iteration created more questions than answers.

How should recommendations actually work? What inputs matter? What does a styling experience feel like when it is intelligent, but still understandable and trustworthy?

The risk was not the idea. It was building disconnected pieces without a clear product foundation.

Digital Atelier concept screens Early concept exploration across five core screens of the styling journey

Early concept exploration across five core screens of the styling journey

This was not just a design execution problem. It was a product definition problem.

The need was to step back, align the product from the start, and move forward with a clear path that connected product strategy, user experience, and technical feasibility all in one place.

Rather than continuing to iterate on isolated designs or AI outputs, the focus shifted to defining the product as a system before moving further into design or build.

End-to-end journey from discovery to repeat experience

Every touchpoint mapped before a screen was built. The flow defined how intelligence would surface across the full lifecycle, not just the moment of recommendation.

User Flow Diagram 7 Steps
Entry  ·  Web  /  iOS  /  Direct Link
Step 01

Onboarding & Style Profile

Capture aesthetic preferences, body type, occasion needs, and style references to seed the AI model.

Style Quiz Mood Board Brand Affinity
Step 02

Initial Outfit Recommendations

AI generates a personalised set of complete looks sourced from curated brands matching the style profile.

AI Curated 150+ Brands Full Looks
Step 03  ·  Loop

Refinement Loop

User iterates on recommendations by liking, adjusting, and swapping until the curation feels right.

More Like This Swap Item Adjust Fit
Step 04

Outfit Detail View

Deep-dive into a full look: individual items, brand info, sizing, AI palette match score, and styling notes.

Palette Score Size Guide Brand Story
Step 05

Save & Organise

Add looks to personal collections, build wishlists, and organise by season, occasion, or mood.

Collections Wishlist Smart Folders
Step 06

Purchase

Seamless checkout via partner brand storefronts or unified Atelier cart, with order tracking and delivery updates.

Unified Cart Brand Checkout Order Track
Step 07  ·  Loop

Return Experience

Post-purchase feedback and wear signals feed back into the AI model. Every interaction sharpens the curation.

Improved Recs Wear Tracking Feedback Loop
Improved recommendations feed back to Step 02
styling reference editorial fashion

Working in a tight loop across strategy, design, and engineering

From day one, the work moved across all three disciplines simultaneously, not in sequence. Each informed the others.

01

Clarifying the product foundation

We translated the initial idea into a clear product direction before a single new screen was designed.

  • What the core styling experience should be
  • What inputs the system needs from users
  • How recommendations are generated and refined
  • Where AI adds value, and where it should stay invisible
02

Designing the experience as a system

Instead of designing screens, we designed the full experience: flows, states, and interaction patterns across every stage.

  • User flows from onboarding to outfit recommendations
  • States for different levels of input and engagement
  • How users explore, refine, and trust recommendations
  • Interaction patterns that make AI feel intuitive, not unpredictable
03

Shaping technical feasibility early

AI-driven products can break down quickly without the right structure. We defined constraints before they became problems.

  • How the recommendation system should be structured
  • What data is required to generate meaningful outputs
  • How to support iteration as the product evolves
  • Where constraints exist and how to design within them
04

Building a real, working product

Rather than stopping at design, we moved into building, so decisions could be based on behavior rather than assumptions.

  • A functional version of the styling experience
  • Real interactions with AI-generated recommendations
  • A product that could be tested and refined in real conditions

A visual language built for editorial luxury

The brand system was defined alongside the product. Typography, colour, and components treated as a single connected system, not a separate deliverable.

Colour palette

Clay #855142
Clay Light #c98b7a
Clay Deep #693a2d
Rose Blush #ffdbd1
Dust #fdf9f5
#1c1c19
#84736f
#f1ede9
#7c5450
#79545c

Type system

Digital
Atelier
Bebas Neue Display / Headline
Lexend Body / UI / Label

Elevate your personal aesthetic. Powered by AI, curated by you.

THE FUTURE OF CURATION

Voice & tone

Do
  • Speak with quiet confidence. Refined, not boastful.
  • Use editorial language: curate, elevate, atelier, bespoke
  • Position AI as a collaborator, not a replacement for taste
Don't
  • Use generic tech language: algorithm, data-driven, optimise
  • Lead with features before leading with feeling

UI components

Begin Journey
Explore
New Collection
Collections
Minimal
Editorial
Avant-garde
Bespoke

Your AI Palette

88%

From fragmented exploration to a coherent product

Before
  • An idea with fragmented design exploration
  • AI outputs without a product structure
  • More questions with each iteration
  • No clear path from idea to build
After
  • A clearly defined product with a cohesive experience
  • A system connecting user input, AI logic, and output
  • A real product foundation built to iterate and scale
  • Decisions grounded in behavior, not assumptions

A product that can grow

Digital Atelier moved forward with clarity: a validated direction, a working product, and the foundation to keep building.

Validated product direction

Strategy, design, and engineering aligned before a line of production code was written.

Fully designed experience

A cohesive system across every state, from onboarding through recommendations and social styling.

A working product

Real interactions. Real AI outputs. A foundation built to be tested, refined, and scaled intentionally.

Desktop and mobile, designed as one

Both surfaces built in parallel, not adapted from one to the other. The desktop and mobile experiences share the same design language while each earning its own layout logic.

Welcome / Landing — Desktop + Mobile High Fidelity
Digital Atelier
Archive Style Quiz Picks About
Start Journey

AI-Powered Styling

Elevate your
aesthetic.

Style that knows you. Curated picks
for every occasion.

Start Journey Explore Archive →
12K+Looks
94%Match rate
40+Profiles
The Tailored Professional
Elevated Casual
Modern Minimalist
Silhouette Analysis · Soulful Curation · Occasion Styling · Archive Access · Style DNA · Timeless Elegance
01

Silhouette Analysis

Your proportions inform every recommendation. Builds that work with your body.

02

Soulful Curation

We build wardrobes with intention. Investment pieces that compound in value.

03

The Social Archive

Every occasion has a right answer. Your calendar becomes your style roadmap.

AI Styling

Elevate your aesthetic.

Style that knows you.

Start Your Journey Explore Archive →
12K+Looks
94%Match
40+Profiles
Home
Archive
Picks
Profile
Strategy UX Design Visual Design Responsive AI Integration

The takeaway

AI can generate outputs quickly. But building a product still requires structure. When strategy, design, and engineering are aligned from the start, ideas turn into real products much faster, and with far more clarity.

Read more case studies

Indeed

Talent Scout

An AI-driven hiring system designed to meet employers where they already work.

Read case study

Indeed

Deep Sourcing

An AI-powered candidate sourcing system that moves beyond traditional search.

Read case study