Automated product tagging saves retail teams significant time and resources, enables standardisation, and generates attribute-rich, consistent product metadata.
Extract detailed product attributes from your catalogs for high-quality product meta data.Extraction
Easy QA of tags from a single window, with individual and bulk edit options. Feedback loop retrains network to quickly reflect changes.
Download approved tags, easily integrate with existing PIM and CMS systems, in a variety of ways.
increase in catalog
accuracy for better
search and discovery
time saved per
person per week
tagged on an
like color, seasonality
and style, tagged
Save costs with faster, automated product digitization
Create consistent, enriched metadata for clean catalogs
Help merchants and sellers with smoother seller onboarding
Curate collections with style, occasion, season tags and more
Improve product discovery and navigation
“Zilingo is a hybrid marketplace with millions of products on the platform. It’s very challenging to be able to catalog and curate collections effectively. How can we effectively curate products on the site so we’re able to show them to a customer at the point of sale or discovery? That’s a very relevant aspect to our business. That’s why we are using A.I. to curate fashion collections in an automated and scalable way.”
Marita Abraham, CMO, Zilingo
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