Manual product annotation can be up to 10x slower than AI-assisted annotation
30% of customers don’t proceed to purchase due to poor product description
Around 40% of returns are due to inaccurate product information
AI-Assisted Fashion Product Tagging
Catchoom’s Automatic Product Tagging is a SaaS product for fashion eCommerce that uses Computer Vision to analyze product images and automatically suggest relevant attributes and categories.
It also provides a user interface connected to the eShop systems that allows you to edit the autogenerated data and send it to the different channels.
Clothing > Full Body > Shift dress
Short Straight Sleeves
Benefits of the AI-Assisted PIM
Easier Channel Distribution
Businesses spend 25 min per SKU to manually update data, and for 73% of them this is difficult and impractical.
Our solution easily exports and syncs new or updated product data to the different selling channels
A PIM system helps brands and retailers get products to market an average of 4x faster.
DeepProducts AI-Assisted PIM can reduce product annotation times from 20 days to 2-3 days.
Automated Data Translations
Product data translation costs as much as 0,10€/word! Translating large catalogs is expensive.
We match data in your site languages to output it automatically, saving up to 24,000€ for every 5,000 items.
Better Product Filters
34% of eCommerce sites do not fulfill visitor filtering needs and 72% do not meet search results expectations.
Structured product data helps improve site navigation & site search results.
Increased SEO & Findability
35% of eCommerce traffic is organic. Populating catalogs with relevant keywords is essential.
Rich product data will help you improve SEO and product findability.
More Consistent Product Data
30% of eCommerce data has at least one error in it. Poor quality data makes organizations lose 9.7 millions.
DeepProducts helps achieve consistent data across all channels.
Need more info on our
automatic product tagging solution?