Once upon a time, a young entrepreneur graduated from MBA came to us and said:

I have this brilliant idea for a digital wardrobe app that uses AI to help people discover their personal style and create perfect outfits for any occasion.
And they need:

A smart wardrobe scanner that uses AI to categorize clothes by style, color, and occasion from photos.
An AI stylist that learns personal preferences and suggests outfit combinations based on weather, calendar events, and style goals.
A weekly outfit planner with mix-and-match suggestions and shopping recommendations for missing pieces.
Style analytics dashboard showing wardrobe utilization, color preferences, and style evolution over time.

Can you build an MVP in 2 months?

Within 15 days we built a complete solution that helped the client launch their fashion tech startup.

The 15-day solution

Our solution includes:

The Digital Wardrobe Hub

Users snap photos of their clothes and AI automatically categorizes them by type, color, pattern, and style—creating a searchable digital closet.
Smart tagging system recognizes brands, materials, and style categories, making it easy to find specific pieces or discover forgotten items.
Each item gets tagged with style attributes (casual, formal, bohemian) and color analysis for better outfit coordination.
Organized virtual closet with filters, favorites, and seasonal collections to streamline outfit planning.

The AI Style Assistant

Machine learning algorithms analyze your style preferences, body type, and lifestyle to suggest personalized outfit combinations.
Weather API integration ensures suggestions are always weather-appropriate, automatically adjusting for temperature and conditions.
Smart occasion matching considers calendar events, dress codes, and personal style goals to suggest perfect outfits.
The AI learns from your feedback, likes, and outfit choices to continuously improve recommendations and understand your evolving style.

The Outfit Planning Studio

Sync with your calendar to automatically suggest outfits for meetings, dates, workouts, and special events based on context.
Visual outfit builder lets you drag and drop items to create combinations, with AI suggesting complementary pieces and accessories.
Smart shopping recommendations identify wardrobe gaps and suggest specific items to complete your style goals, with price comparisons.
Share your favorite outfits on social media, get feedback from friends, and discover new styles from the community.

The Conclusion

The Cozylook app successfully launched as a comprehensive fashion tech platform, helping users discover their personal style through AI-powered wardrobe management. Our 15-day development timeline enabled the client to quickly validate their fashion tech concept and secure early user adoption in the competitive style app market.

Digital wardrobe & stylist

Unlock your style

The Problem

Once upon a time, a young entrepreneur graduated from MBA came to us and said:

Within 15 days we built a complete solution that helped the client launch their fashion tech startup.

The 15-day solution

Our solution includes:

The Conclusion

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