AI Fashion Curator
Personalized style recommendations using computer vision and preference learning
The AI Fashion Curator brings personalized styling to e-commerce at scale. Using computer vision and preference learning, it understands individual taste profiles and surfaces recommendations that feel hand-picked.
The system analyzes visual attributes of clothing — color palettes, patterns, silhouettes, and textures — then maps these against a user's browsing and purchase history to build a nuanced taste model.
What sets this apart from traditional recommendation engines is its ability to understand style coherence. It doesn't just recommend popular items; it curates outfits and combinations that work together aesthetically.
Midjourney played a key role in our design process, helping us prototype and visualize different UI approaches for presenting recommendations in a way that feels editorial rather than algorithmic.
The platform has demonstrated measurable impact on key e-commerce metrics, improving both average order value and customer satisfaction scores.