While working at Diesdas.digital on an innovation project for Zalando, we developed StyleSearch—an AI-powered platform rethinking how the next generation discovers fashion. Instead of browsing catalogs, users can translate personal inspirations—such as music, images, or moods—into highly personalized style recommendations. Embedded in a collaborative, social environment, the platform turns fashion discovery into a shared, evolving experience rather than a solitary search process.
Types of digital products
eCommerce
Social Media Platform
Roles
Strategy
UI/UX Design
Challenge & Objective
Multimodal Discovery
Our goal was to transform abstract inspirations, like music playlists and moods, into tangible fashion recommendations using AI. We aimed to move beyond keywords, creating a search experience that understands a user’s "vibe" rather than just their search terms.
Future-Generation Engagement
The challenge lay in designing a platform that meets the high expectations of future generations for hyper-personalization and social proof. We focused on bridging the gap between a transactional shopping tool and a creative, community-driven ecosystem.
Holistic Style Management
We sought to integrate the user’s existing wardrobe with new inspirations to foster a more cohesive and conscious style evolution. By connecting personal archives with social discovery, we created a seamless loop between owning, sharing, and buying.
How it Works
Multimodal Input Field
The search bar functions as a multimodal input field, allowing users to go beyond keywords by integrating Spotify playlists, photos, weather, and location as inspiration. Advanced AI analyzes these diverse data points to distill a specific "vibe," delivering highly relevant visual fashion suggestions and complete looks that far exceed traditional search results.
Highlight
The Community Concept
The platform integrates a vibrant social space where users create profiles, curate mood boards, and connect with like-minded style enthusiasts. Beyond discovering new items, users can digitize their existing wardrobe to seamlessly match potential purchases with pieces they already own, fostering an authentic community focused on the evolution of personal style.
