Project Summary
It is an innovative fashion stylist powered by AI, designed to help users explore, create, and organize their wardrobes effortlessly. It offers personalized outfit recommendations, trend insights, virtual wardrobe management, and shopping suggestions from curated collections. It adapts to each user’s style, body type, and preferences to deliver highly personalized fashion guidance. The platform simplifies daily styling decisions and enhances the overall shopping experience with smart, data-driven suggestions
Industry
Fashion
Services
Technologies Used
- Next.js
Challenges We Solved
Building accurate AI styling algorithms required balancing personalization with trend accuracy. Integrating shopping insights, creating an engaging virtual wardrobe, and maintaining seamless performance across devices added to the development complexity. Ensuring consistent user satisfaction demanded continuous model refinement, adaptive learning from user behavior, and precise synchronization between fashion data, AI predictions, and front-end responsiveness.
Blending Trends with Commerce Seamlessly
Designing a Delightful Digital Wardrobe
Optimizing for Every Screen and Style
Our Deliverables
1. AI-Powered Styling Engine
Developed a recommendation engine using preference learning and trend analysis models to deliver personalized outfit suggestions for every user profile.
2. Virtual Wardrobe Management Module
Built an interactive digital wardrobe enabling users to upload, categorize, and edit clothing items while receiving mix-and-match suggestions.
3. Fashion Trend Intelligence Integration
Implemented real-time trend tracking powered by external data sources and social sentiment analysis to keep recommendations fresh and relevant.
4. E-commerce Integration Layer
Connected the platform to curated shopping APIs, allowing users to explore matching outfits and accessories with direct purchase options.
5. Intuitive Front-End Experience
Designed and developed a high-performing web interface using React, Next.js, and Ant Design to ensure a seamless experience across mobile and desktop.
6. Scalable Architecture & Code Quality Tools
Integrated TypeScript, Husky, and Lint-staged to maintain scalable, maintainable, and performance-oriented code aligned with modern development standards.
Business Impact
The platform transformed personal styling through AI-driven recommendations and virtual wardrobe management. It helped users make confident fashion choices while engaging more deeply with evolving trends.
78%
Boost in user engagement
66%
Improvement in outfit recommendation accuracy
59%
Increase in repeat sessions
84%
Positive feedback on trend relevance
Key Platform Benefits
Personalized outfit recommendations and styling
AI‑powered trend and fashion insights
Virtual wardrobe management and editing
Curated shopping suggestions and links
Responsive design for all devices
Enhanced user experience
Want to Build an AI Fashion App?
Clients Who Grew with Us
"Excellent end-to-end experience with Ciphernutz. Highly engaged team, great communication."
Jake Adams
Head of Product
"Working with Ciphernutz feels like having a true partner who truly cares about your business"
Dongjoo Kim
Founder
