Our Story
Dresser AI began with a simple observation: our closets are full, yet we often feel like we have nothing to wear. Fueled by a passion for technology and a desire to solve this universal dilemma, we created an app that transforms the way people interact with their wardrobes.
Our Vision
Our vision is a future where personal style is effortless, sustainable, and entirely individual. We see Dresser AI at the forefront of this transformation, making fashion accessible to everyone, regardless of budget or busy schedules. By empowering users to make the most of their wardrobes, we're not just changing the way they dress; we're changing the way they see themselves and their impact on the world.
Technology
At Dresser AI, technology is the heart of our innovation. Our app leverages cutting-edge AI and machine learning to analyze fashion trends, user preferences, and the unique contents of their wardrobes. This powerful combination delivers personalized outfit recommendations, sustainable styling options, and smart shopping suggestions, all designed to enhance the user experience and promote a more conscious approach to fashion.
How it works
Smart
DresserAI is an AI-powered personal assistant that transforms your wardrobe management by cataloging your clothes and suggesting outfits for any occasion. It combines fashion with functionality, offering personalized styling advice and connecting you with local shopping options to find similar or complementary pieces within your budget.
Time
management
DresserAI revolutionizes your dressing experience by scanning your entire wardrobe, making it easy to rediscover your forgotten hoodie or jacket and style it. It goes a step further by using advanced algorithms to suggest new, similar items available in local shops, ensuring your style stays updated and aligned with your preferences, all while supporting local businesses.
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Join waitlist
To get into waitlist and be the first one to try DresserAI, please fill in your contact details.
Tel: +7 776 233 6669
Syganak
Astana, Kazakhstan 010000