We studied the key product attributes that matter most to shoppers: silhouette, color, pattern, details - and even mood. With an automated product tagging process, you'll receive richer product information for your catalog.
Robust fashion tagging enhance the shopping experience with precise product details. Our extensive research across apparel, shoes, and accessories identifies key attributes that matter most to shoppers, enabling a rich and detailed tagging system that helps customers find exactly what they need.
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Shoppers want to quickly filter by occasion, mood, or vibe. After listening to users, we've identified key fashion moods and developed an AI with a keen eye for fashion. This AI can tag any thematic category, from romantic to chic to off-duty, making it easier for customers to find the perfect style.
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We’ve trained with millions of fashion data points, and our AI recognizes noisy product images. Every brand has a unique style of image layout, and our AI is familiar with all sorts. Whether it's on a model or off-model, we get it. Leave it to our fashion AI to handle.
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Offers flexible implementation options—ensuring seamless integration with your existing systems. This scalability supports rapid catalog growth without disrupting operations. Save time and resources by automating manual tasks, allowing your team to focus on strategic growth initiatives.
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Our pricing model is designed to be flexible and cost-effective, allowing you to digitize your catalog easily. You only pay for the SKUs you tag each month. Enjoy affordable pricing without sacrificing quality, ensuring you only pay for what you need.
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Our technology can quickly customize per your business needs
Data ingestion once, you’ll access to over 12+ discovery apps
All our apps are powered by auto tagging or embedding.
In this guide, YesPlz will walk you through the essential pieces of fashion tagging, from what it is to the effect on shopper experience—and more. Bookmark this guide for later, as we continue to update with the latest news and information.
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