01
AI & Generative AI
3 technologies
Amazon Nova ProAmazon Nova CanvasAWS Bedrock
CLOQR
AI-Powered Fashion & Virtual Try-On Platform
CLOQR is an AI-powered fashion platform that helps users manage their digital wardrobe, get personalized outfit recommendations, and visualize looks through virtual try-on technology.
Technologies:Amazon BedrockAmazon RDSAmazon S3AWS
Business Focus: AI Fashion & Personal Styling
Case Study Summary
CLOQR is an AI-powered fashion platform that helps users digitize their wardrobes, discover personalized outfit recommendations, and visualize outfits through virtual try-on technology. The platform combines user preferences, wardrobe data, weather, and occasion-based context to deliver intelligent styling suggestions.ExpertsCloud built CLOQR using AWS cloud services and generative AI, including Amazon Nova Pro, Amazon Nova Canvas, Amazon Bedrock, Amazon RDS, and Amazon S3. The solution delivers personalized styling, realistic outfit visualization, and an AI-powered fashion chatbot in a secure and scalable mobile experience
Industry
AI Fashion & Personal Styling
Timeline
6 Months
Platform
Mobile App
Architecture
AI-Powered Fashion Architecture
Business Challenges
01
Digital Wardrobe Management
Users needed a simple way to digitize and organize their physical wardrobe in one centralized platform.
02
ersonalized Styling
Traditional fashion apps lacked intelligent recommendations based on individual preferences, wardrobe items, weather, and occasions.
03
Outfit Visualization
Users needed a realistic way to visualize how recommended outfits would look on their own bodies before making styling decisions.
04
Intelligent Fashion Assistance
The platform required an AI-powered assistant capable of understanding wardrobe data and providing personalized styling guidance.
What ExpertsCloud Built
An intelligent fashion ecosystem combining digital wardrobe management, AI styling, and virtual try-on technology.
01
AI Outfit Recommendations
Amazon Nova Pro analyzes wardrobe inventory, user preferences, weather, and occasions to generate personalized outfit recommendations.
02
Digital Closet
Built a digital wardrobe where users can upload and manage their clothing items with images securely stored in Amazon S3.
03
Virtual Try-On
Amazon Nova Canvas visualizes recommended outfits on the user's body to create a realistic virtual try-on experience.
04
AI Fashion Chatbot
Implemented an AI-powered chatbot using AWS Bedrock tools to answer wardrobe questions and provide personalized styling suggestions.
How We Solved the Challenge
A cloud-based AI architecture designed to deliver personalized fashion recommendations and interactive styling experiences.
01
AI Recommendation Engine
Amazon Nova Pro processes user preferences, wardrobe inventory, weather, and occasion data to generate relevant outfit recommendations.
02
Virtual Try-On Experience
Amazon Nova Canvas generates visual representations of recommended outfits on the user's body.
03
Secure Data & Storage
Amazon RDS with PostgreSQL stores structured user and wardrobe data, while Amazon S3 securely stores wardrobe images.
04
AI Styling Assistant
AWS Bedrock tools power an intelligent chatbot that provides styling guidance based on saved wardrobe items and recent user activity.
Tech Stack
02
Cloud & Data
4 technologies
Amazon RDSPostgreSQLAmazon S3AWS Cloud
03
Application
4 technologies
Mobile ApplicationAI Recommendation SystemAI-Powered ChatbotVirtual Try-On
Before VS After
Before
- Manual wardrobe management
- Generic outfit decisions
- Limited personalization
- No virtual try-on
VS
After
- Digital wardrobe management
- AI-powered outfit recommendations
- Personalized styling
- AI virtual try-on
Results & Outcomes
A personalized AI fashion experience that helps users manage their wardrobe, discover outfits, and visualize styling choices.
- Smarter wardrobe decisions
- Personalized outfit recommendations
- Reduced outfit selection confusion
- Digital wardrobe management
- AI-powered styling assistance
- Realistic virtual try-on experience
FREQUENTLY ASKED QUESTIONS
CLOQR is an AI-powered fashion platform that combines digital wardrobe management, personalized outfit recommendations, virtual try-on, and AI-powered styling assistance.
CLOQR uses Amazon Nova Pro to analyze user preferences, wardrobe inventory, weather, and occasion-based context to generate personalized outfit recommendations.
Amazon Nova Canvas is used to visualize recommended outfits on the user's body, creating a realistic virtual try-on experience.
Structured user and wardrobe data is stored in Amazon RDS with PostgreSQL, while wardrobe images are securely stored in Amazon S3.
Yes. CLOQR includes an AI-powered chatbot built using AWS Bedrock tools, allowing users to ask questions about their wardrobe and receive personalized styling suggestions.