← Case StudiesFashion · Retail AI

AI Outfit Try On & Dress Up

Virtual Try On & AI Fashion

Platform
iOS
Timeline
6 weeks to App Store
Technology
Swift · Core ML
SecondsTry-on speed
3+Creative modes
4.8★Target rating
LiveApp Store
AI Outfit Maker app

The product at a glance

We partnered with a fashion-tech founder to ship a photorealistic virtual try-on app—turning a complex AI pipeline into a consumer product users love in seconds.

Client
Fashion AI Startup
Industry
Fashion · Retail AI
Services
Product Strategy, iOS Development, AI Integration
Duration
6 weeks
Team Size
5 specialists

What was broken—and why it mattered

Shoppers and creators struggle to visualize outfits before buying—leading to returns, wasted time, and low confidence in style choices.

Deliver an instant, photorealistic virtual try-on experience where users can swap outfits in photos using AI—no studio or manual editing required.

— Client objective
  • 01

    Achieving realistic garment draping and lighting across diverse body types and photo angles

  • 02

    Balancing on-device performance with cloud AI inference for high-quality outputs

  • 03

    Designing intuitive flows for non-technical users—from template pick to custom text prompts

The Strategy

How we thought before we built

Research, planning, product decisions, and user flow architecture—mapped before a single line of production code.

Research

User & Market Research

Achieving realistic garment draping and lighting across diverse body types and photo angles

Planning

Product Roadmap & Scope

Deliver an instant, photorealistic virtual try-on experience where users can swap outfits in photos using AI—no studio or manual editing required.

Product

Core Product Decisions

We built an AI-powered iOS app with Style Me Now flows, curated templates, and text-to-style prompts so users can change clothes in photos and experiment with fashion in seconds.

UX

User Flow Architecture

Mapped core journeys: template browse, Style Me Now, and describe-your-look text input with minimal friction.

UX thinking, not just screens

Every screen was designed around one question: how fast can a user reach their outcome? We mapped flows, tested edge cases, and built a visual system that scales with the product.

journey

Primary User Journey

Mapped core journeys: template browse, Style Me Now, and describe-your-look text input with minimal friction.

wireframe

Style Me Now

Low-friction entry points and progressive disclosure—users reach value without tutorial overload.

decision

Template Gallery

Balancing on-device performance with cloud AI inference for high-quality outputs

decision

Text-to-Style

Designing intuitive flows for non-technical users—from template pick to custom text prompts

From discovery to launch

01

Discovery

Achieving realistic garment draping and lighting across diverse body types and photo angles

02

Planning

Deliver an instant, photorealistic virtual try-on experience where users can swap outfits in photos using AI—no studio or manual editing required.

03

Design

Mapped core journeys: template browse, Style Me Now, and describe-your-look text input with minimal friction.

04

Development

Connected vision and generative models for cloth segmentation, replacement, and style transfer with quality guardrails.

05

Testing

QA across devices, edge cases, and performance—stress-tested AI pipelines and user flows before release.

06

Launch

Optimized rendering speed, export flows, and App Store-ready onboarding for a consumer fashion audience.

Technology Stack

Built on a production-grade foundation

Every layer chosen for performance, scalability, and the specific demands of this product.

Frontend

  • Swift
  • iOS

Backend

  • AI/ML APIs

AI

  • Core ML
  • Vision Framework

Outcomes that matter

Business impact, user growth, and product metrics—the story founders and investors want to hear.

Seconds

Time to Try-On

Users swap outfits instantly without editing skills or studio setup.

3+

Input Methods

Templates, Style Me Now, and natural-language style prompts in one flow.

↓ Returns

Purchase Confidence

Visual try-before-buy reduces uncertainty in fashion decisions.

Live

App Store Launch

Shipped consumer-ready with onboarding tuned for non-technical users.

Client testimonial

We partnered with this team for our AI-based application, and the results were beyond expectations. The app performance, UI, and overall experience are top-notch. Highly recommended for anyone looking to build scalable AI products.

MC
Michael Carter, USAAI Product Client

Let's build your next product

Book a free consultation. We'll map your idea, timeline, and the fastest path to a product your users—and investors—will believe in.