See Every Outfit on Yourself Before You Buy or Wear It
AI Virtual Try-On Platform

See Every Outfit on Yourself Before You Buy or Wear It

An AI virtual try-on platform where users upload photos of themselves and their wardrobe to visualize outfit combinations, with daily recommendations personalized to weather conditions and style preferences.

35%

Lower Return Rates

4x

More Outfits Explored

Daily

Personalized Recommendations

About this Project

This platform solves two distinct problems: purchase uncertainty for online shoppers and daily outfit decision fatigue for existing wardrobe owners. Users upload photos of clothing items, the AI removes backgrounds and creates clean garment assets, and a virtual try-on engine overlays combinations onto the user's photo. Daily recommendations factor in local weather data and personal style history to suggest outfits from the user's existing wardrobe.

Industry

Fashion Technology

Location

Global

Duration

2024 - Present

Type

Consumer Mobile App

About this project

Project Goals & Objectives

Project Goals
  • Reduce online fashion return rates through better purchase visualization.

  • Eliminate daily outfit decision friction for wardrobe owners.

  • Deliver personalized recommendations based on weather and preferences.

  • Build a digital wardrobe management tool users return to daily.

  • Make AI-powered try-on accessible without specialized hardware.

  • Create a platform that works with any clothing items, not just retail inventory.

Project Objectives
  • Build AI background removal for user-uploaded clothing photos.

  • Develop virtual try-on engine for outfit overlay on user photos.

  • Implement wardrobe management with category organization tools.

  • Integrate weather API for location-based daily recommendations.

  • Build preference learning engine that improves recommendations over time.

  • Optimize image processing for fast try-on response on mobile.

Results & Measurable Outcomes

01

35% Reduction in Return Rates

Users who visualized clothing through the try-on feature before purchasing returned items 35% less frequently than those who purchased without visualization, directly improving buyer satisfaction.

02

4x More Outfit Combinations Explored

The frictionless combination tool led users to explore 4x more outfit pairings from their existing wardrobe compared to manual planning, increasing wardrobe utilization.

03

Daily Active Usage Established

Weather-based daily recommendations drove consistent daily app opens, establishing a habitual usage pattern that most fashion apps fail to achieve.

04

Background Removal Accuracy

The AI background removal engine achieved high accuracy on diverse clothing types and photo backgrounds, producing clean garment assets suitable for realistic try-on overlays.

05

Wardrobe Digitization Adopted

Users actively built out their digital wardrobes within the platform, with average wardrobe size growing over the first month as users recognized the value of having their full closet accessible.

06

Personalization Improving Over Time

Recommendation accuracy improved measurably with each user interaction as the preference learning engine refined its understanding of individual style profiles.

AI Virtual Try-On outfit visualization interface
AI Virtual Try-On daily recommendation feature

The Impact

Measurable results that demonstrate real business value and transformational outcomes.

35%

Fewer Returns

4x

Outfits Explored

Daily

Active Usage

Technology Stack

React Native
Python
TensorFlow
OpenAI API
Node.js
AWS

What Our Clients Say

"Renesis brought clarity to our technology strategy and helped us execute with confidence. Their multi-tenant architecture took us from $100K to $500K in ARR and created an immediate competitive impact."

Michael Torres

CEO, CallBuddy

Healthcare Technology, USA

"Bilal and the engineering team understood our compliance requirements from day one. They did not just build what we asked for, they challenged our assumptions and delivered a system that genuinely works for our clinics."

Sarah Okonkwo

Founder, NakedHealth

Healthcare AI Platform, USA

"The Renesis team moved faster than any agency we had worked with before. Usman's technical leadership on the infrastructure side was exceptional. We launched on time with zero critical issues post-deployment."

James Whitfield

Head of Engineering, Covertly

AI SaaS Platform, UK

"What impressed us most was Irtaza's design thinking. He did not just execute the brief, he pushed back with better ideas. The final product looks and feels nothing like a typical EdTech app, which was exactly what we needed."

Aiko Tanaka

VP of Product, STORYMII

EdTech, New Jersey USA

"Renesis treated our product like it was their own. Hamza kept us aligned through every phase and made sure we never lost sight of the business outcome we were building toward. The platform shipped on scope and on budget."

David Mercer

CEO, CORETAL

Business Management SaaS, UK

"We had worked with three other agencies before Renesis. The difference was the engineering discipline. Usman's team wrote code we could actually maintain and scale. That is rarer than it should be."

Priya Nair

VP of Engineering, ALSE DATA

Data Analytics Platform, India

"Bilal gave us an honest technical assessment on day one, including the things we did not want to hear. That honesty is what made us trust them with $5M in presale infrastructure. Every contract audited, every deadline met."

Tariq Al-Rashid

Founder, AquaTank

DeFi Gaming Launchpad, UAE

"Mustafa took the time to understand what we were actually trying to solve before a single line of code was written. That discovery process saved us months of rework. The platform we got was exactly what our HR teams needed."

Elena Vasquez

Head of Operations, EvalPro.ai

HR Technology Platform, Spain

"Irtaza's design work on the marketplace was outstanding. The UI felt premium from the first prototype. Combined with Usman's smart contract architecture, we launched with full confidence and sold out."

Chris Nakamura

Founder, Vaffa Cosmo

NFT Gaming Ecosystem, Japan

"Renesis delivered a platform our team could actually operate without an engineering degree. Hamza was accessible throughout every phase and the product roadmap they helped us define gave us a clear path to our next funding round."

Amanda Lee

Head of Growth, Social Boost

Social Media Technology, Singapore

"Legal tech is unforgiving when it comes to accuracy. Bilal understood that from day one and built a review process into every sprint. We launched with 99% accuracy on document outputs, which is the number our lawyers required."

Ravi Sharma

Founder and CEO, BABIDI

Legal Technology Platform, Canada

"We had a vision for social commerce that most agencies told us was too complex. Renesis was the first team that said yes and meant it. Irtaza's design sensibility and Usman's engineering made AVA feel like a product built by a team twice our size."

Fatima Al-Hassan

VP of Design, AVA

Social Commerce Platform, UAE

"Hamza was the first person from any agency who asked about our revenue model before talking about features. That conversation shaped the entire product. Renesis built us a platform users actually pay for, not just use."

Oliver Bennett

Head of Product, GoPDF

Productivity SaaS, Australia

"The AI integration was the hardest part of our build and Usman's team handled it without drama. They set realistic expectations, hit every milestone, and delivered a product that outperformed our CTR targets within the first month."

Yuki Matsumoto

Director of Technology, JARVIS

AI Content Tools, Japan

"Mustafa spent two full sessions understanding our training methodology before the team wrote a single line of code. That preparation showed in the final product. The app feels like it was built by someone who genuinely understands athlete development."

Marcus Reid

Founder, Beast Mode Soccer

Sports Technology, USA

Insights, Strategies & Perspectives

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