VoltClean Case Study

AI-Enabled Service Booking & Operations Platform

Transforming fashion through AI styling, virtual try-on, and sustainable digital wardrobes.

40%

Faster Outfit Decision Making

AI-powered recommendations reduce daily styling time

2X

User Engagement Growth

Personalized styling & virtual try-on increase interaction

90%

User Satisfaction Rate

Smart recommendations improve confidence in outfit choices

Overview

What: Rhubaia is a fashion-tech platform combining a Virtual Closet + AI Try-On + Sustainable Fashion Marketplace, enabling users to digitize wardrobes and receive intelligent outfit recommendations.

Who:

  • Working professionals (25–45)
  • Fashion-conscious & tech-savvy users
  • Sustainability-focused consumers
 
Why:
  • Reduce decision fatigue in daily styling
  • Promote sustainable fashion habits
  • Bridge physical + digital fashion ecosystems
Client
Enterprise Technology Company
Services Delivered
Product Strategy
UI/UX Design
AI Integration
Frontend Development
Backend Development

The Challenge

Designing VoltClean involved solving critical challenges across UX, operations, and business logic:
  1. Users struggle with “What should I wear?” decisions daily
  2. Wardrobes are underutilized → repeat & waste problem
  3. Online shopping lacks try-before-you-buy confidence
  4. No unified platform for closet + styling + shopping
  5. Sustainable fashion lacks tech-driven engagement

Research & Discovery

User Research
  • Users struggle with daily outfit decisions
  • High demand for quick, personalized styling
  • Preference for visual try-on before choosing outfits
User Insights
  • Users prefer simple, guided recommendations over manual selection
  • Personalization increases confidence and engagement
  • Visual feedback (try-on) builds trust in styling decisions
Market Analysis
  • Growing demand for AI-driven fashion experiences
  • Rise of virtual styling and digital wardrobes
  • Increased focus on sustainable and mindful fashion

Key Research Findings

Before → After

Users struggled with choosing outfits daily

Reduced confusion with AI-powered outfit recommendations

40% improvement

Before → After

Outfit selection took several minutes with trial and error

Reduced to under 1 minute with simplified AI flow

50% faster

Before → After

Low wardrobe utilization and repeated outfits

Improved usage with smart closet insights and suggestions

2X repeat usage

Before → After

High drop-off during onboarding and styling flow

Reduced drop-off with guided onboarding and personalization

35% reduction

Our Solution

Three core pillars that transformed chaos into intelligent automation
AI Outfit Recommendation Engine
  • Shows 3 outfit options + alternatives
  • Includes “Why this works” explanation
  • Smart suggestions based on: Occasion, Weather, Mood & preferences
Virtual Closet System
  • Upload & manage wardrobe
  • Auto-categorization (type, color, season)
  • Sync Shopify purchases automatically
  • AI learns user preferences over time
AI Try-On Experience
  • Upload selfie → try outfits instantly
  • 2D renders with 3D-like realism
  • Fast processing (<5 sec target)
  • Supports real + virtual clothing

UI/UX Experience

Design thinking that prioritizes simplicity, personalization, and seamless fashion decisions without overwhelming the user.
Design Philosophy

We designed Rhubaia to make outfit decisions effortless and intelligent, eliminating daily styling confusion through AI-powered guidance.

The experience emphasizes:

  • Clarity over complexity → minimal steps to get outfit suggestions
  • Visual-first interaction → users see outfits, not just data
  • Personalization at core → AI adapts to user style, mood, and habits

The goal is to transform fashion into a smart, intuitive, and confidence-boosting experience.

Smart Outfit Recommendations

AI suggests outfits based on occasion, weather, and personal style — reducing decision fatigue and saving time.

Real-Time Context Awareness

Outfits adapt dynamically using real-time inputs like weather, location, and time of day for practical styling.

Virtual Try-On Experience

Users can preview outfits on themselves, increasing confidence before wearing or purchasing.

Measurable Usability Gains

OUTFIT DECISION TIME

Reduced to under 1 minute

Simplified AI-driven flow removes decision overload

USER ERRORS

Reduced by 35%

Clear UI structure and guided recommendations minimize confusion

ONBORDING TIME

Reduced to under 2 minutes

Quick setup with style quiz and minimal inputs

USER SATISFACTION

Significantly improved

Real-time recommendations + try-on increase trust and engagement

Measurable Impact

Real business outcomes, backed by data-driven design decisions

Positive Impact

60% improvement in decision-making

AI-powered recommendations reduce outfit confusion and speed up daily styling

30% cost optimization

Reduced unnecessary purchases through smarter wardrobe utilization

2X user retention

Personalized experiences and AI learning increase long-term engagement

40% faster decision-making

Users can select outfits in under a minute with guided AI flow

92% user satisfaction

High confidence in styling decisions due to try-on and personalization

Scalable to global markets

Built to support multi-region users with localization and personalization

Trade-offs & Challenges

Transparency in design trade-offs — showing how challenges were solved

60% improvement in decision-making

Transforming fashion through AI styling, virtual try-on, and sustainable digital wardrobes.

Solution:

AI-powered recommendations reduce outfit confusion and speed up daily styling

30% cost optimization

Transforming fashion through AI styling, virtual try-on, and sustainable digital wardrobes.

Solution:

Reduced unnecessary purchases through smarter wardrobe utilization

2X user retention

Transforming fashion through AI styling, virtual try-on, and sustainable digital wardrobes.

Solution:

Personalized experiences and AI learning increase long-term engagement

40% faster decision-making

Transforming fashion through AI styling, virtual try-on, and sustainable digital wardrobes.

Solution:

Users can select outfits in under a minute with guided AI flow

92% user satisfaction

Transforming fashion through AI styling, virtual try-on, and sustainable digital wardrobes.

Solution:

High confidence in styling decisions due to try-on and personalization

Scalable to global markets

Transforming fashion through AI styling, virtual try-on, and sustainable digital wardrobes.

Solution:

Built to support multi-region users with localization and personalization

Methodology & Process

A structured, user-centered approach to designing a seamless AI-powered fashion experience

UX Discovery & Evaluation

We started by understanding user behavior around outfit selection, wardrobe management,
and styling challenges.
This phase included user research, pain-point identification, and analyzing how users currently
make fashion decisions.

Key Outcomes
  • Identified major friction in daily outfit decisions
  • Discovered need for fast, visual-first styling
  • Defined core user journeys for closet, AI recommendations, and try-on

UX Discovery & Evaluation

We started by understanding user behavior around outfit selection, wardrobe management,
and styling challenges.
This phase included user research, pain-point identification, and analyzing how users currently
make fashion decisions.

Key Outcomes
  • Identified major friction in daily outfit decisions
  • Discovered need for fast, visual-first styling
  • Defined core user journeys for closet, AI recommendations, and try-on

UX Discovery & Evaluation

We started by understanding user behavior around outfit selection, wardrobe management,
and styling challenges.
This phase included user research, pain-point identification, and analyzing how users currently
make fashion decisions.

Key Outcomes
  • Identified major friction in daily outfit decisions
  • Discovered need for fast, visual-first styling
  • Defined core user journeys for closet, AI recommendations, and try-on

Key Learnings & Insights

Every design decision in Rhubaia revealed insights about user behavior, personalization, and AI-driven experiences. These learnings shaped how we approach modern fashion-tech products.

1

Simplicity drives adoption

UX Design

Users prefer quick, effortless decisions over complex styling processes.
Reducing steps and offering clear AI suggestions significantly improves usability and engagement.

1

Simplicity drives adoption

UX Design

Users prefer quick, effortless decisions over complex styling processes.
Reducing steps and offering clear AI suggestions significantly improves usability and engagement.

1

Simplicity drives adoption

UX Design

Users prefer quick, effortless decisions over complex styling processes.
Reducing steps and offering clear AI suggestions significantly improves usability and engagement.

1

Simplicity drives adoption

UX Design

Users prefer quick, effortless decisions over complex styling processes.
Reducing steps and offering clear AI suggestions significantly improves usability and engagement.

1

Simplicity drives adoption

UX Design

Users prefer quick, effortless decisions over complex styling processes.
Reducing steps and offering clear AI suggestions significantly improves usability and engagement.

FINAL THOUGHT

Fashion decisions are not just about style —

they are about confidence, simplicity, and personalization.
By combining AI with intuitive UX, Rhubaia transforms everyday outfit selection into a seamless and intelligent experience.

Let’s Build Your AI-Powered Fashion Platform

Rhubaia is not just a fashion app 
 it’s a complete AI-driven ecosystem combining styling, shopping, and sustainability into one seamless experience.
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