AI Product Tagging for Fashion
Why AI Tagging?
10–15 Attributes Per Product, in Seconds
Category, style, occasion, and vibe tagged automatically from a single image. Product data enrichment without the spreadsheet.
Better Tags. Better Search, Filters & Discovery.
Consistent attributes across your whole catalog means search that matches intent, sharper filters, smarter recommendations, all without manual work.
Get Found by Google and by AI
Rich attribute data feeds your SEO and GEO, so your products show up when shoppers ask Google, ChatGPT, or any AI what to buy.
Easy to Start. Easy to Run.
Live in two weeks, priced to start small, and your catalog gets richer with every SKU.
Live in 2 Weeks
Seamless setup on Shopify, Cafe24, or custom stacks. Full integration support from our team. No replatforming.
Flexible Pricing
Pay-as-you-go or monthly subscription. Start small, scale as you grow.
Zero Friction, Deep Tagging API
A RESTful API that runs alongside your existing setup and a dashboard so merchandisers manage tags without touching engineering.
See Your Own Products Tagged
Send us a sample of your catalog. We'll tag it free and show you the attributes your search is missing.
AI product tagging uses computer vision to read product images and automatically generate the attributes shoppers search by: category, silhouette, color, pattern, occasion, and mood. What used to take merchandising teams hours per product happens in seconds, with 10–15 attributes per item.
Search that matches intent, sharper filters, smarter recommendations without manual work. Automated tagging is product data enrichment at catalog scale: every product gets consistent, detailed attributes, so shoppers find what they're looking for and your team never types a tag again.
Yes. Detailed attributes give Google more to index and rank on every product page. Increasingly, structured product data is also how AI assistants like ChatGPT decide which products to recommend. YesPlz automatically generates SEO- and GEO-ready product data from your product images, no manual keyword work..
Everything in fashion: women's and men's apparel, shoes, bags, and accessories. Kids and jewelry are covered too. If it's fashion, we almost certainly cover it; contact us about your specific catalog.
Yes. Our AI image tagging is trained on millions of fashion photos, whether on-model, off-model, flat lay, or shot against a busy background. If a human eye can see it, our AI can see it too.
Yes. Add attributes we don't cover, rename ones to match your merchandising language, or go further and build a taxonomy specific to your catalog. Many retailers run custom tags both for internal merchandising and for shopper-facing search, filters, and recommendations. Custom taxonomies can add cost, and we'll scope that with you upfront.
Yes. Every client gets a dashboard to preview tags, track tagging progress across the catalog, and moderate results: approve, edit, or override any tag before it goes live. It's built for merchandisers, so your team manages everything without engineering help.
Through the tagging API or batch CSV uploads, whichever fits your workflow. We support Shopify, Cafe24, and custom stacks, and new products are tagged automatically as they're uploaded. Most retailers go live within two weeks.
Not today. Fashion-level accuracy requires deep fine-tuning, and we'd rather be the best at one vertical than average at many. Other verticals are on the roadmap.
