The system analyzes user-provided body data (from simple inputs or advanced tools like ZOZOSUIT) and garment specifications to predict the best fitting size for thousands of items, reducing returns due to poor fit.
A dynamically updating homepage and category feed that uses machine learning to curate products, brands, and styles based on a user's browsing history, purchase behavior, and stated preferences.
Zozotown operates as a centralized platform hosting hundreds of fashion brands, from high-street to luxury and niche designers, all available for purchase through a unified cart and checkout process.
Leveraging AR and image processing, some features allow users to visualize how certain accessories or items might look, or to see style combinations put together by AI or influencers.
A suite of physical tools and companion apps designed to capture precise user anthropometry, which then feeds into the platform's sizing and recommendation algorithms for a hyper-personalized experience.
A customer hesitant to buy clothes online due to inconsistent sizing between brands uses Zozotown's AI fit prediction. By inputting their basic measurements or using a ZOZOMAT, they receive confident size recommendations for specific items. This reduces the risk of returns and builds trust, enabling them to shop from a wider variety of brands they would otherwise avoid.
A user interested in staying current with trends but overwhelmed by choice relies on the personalized discovery feed. The AI analyzes their past likes and purchases to surface emerging brands and items that match their aesthetic. This transforms browsing from a chore into a curated experience, increasing engagement and purchase frequency.
A user preparing for a specific event needs multiple coordinating items (e.g., a dress, shoes, bag). They use Zozotown's marketplace to browse across hundreds of brands in one session. The unified cart and checkout, combined with style inspiration looks, allow them to efficiently assemble and purchase a full outfit from different retailers without managing multiple orders or shipping fees.
A customer wanting perfectly fitted clothing engages with ZOZO's made-to-order services, often promoted on Zozotown. They use the ZOZOSUIT to submit precise measurements, which are then used to produce custom-sized shirts, pants, or suits. This use case addresses the high-end demand for personalized fashion that is typically inaccessible online.
A fashion follower outside Japan uses Zozotown's international shipping options to access unique Japanese domestic brands and styles not readily available on global platforms. They rely on the platform's translation features, detailed product photography, and size conversion tools to navigate and purchase items from a distinct fashion market.
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