We provide a system to categorize apparel products in a detailed and organized way.
Improved search and discovery
Tagging your products with detailed attributes will improve search results and enable better personalization.
Spend less time tagging
We use AI to automate tags, making it easy to review and confirm. Over time, our models will learn and improve.
About Glisten AI
Glisten uses computer vision and NLP technology to taxonomize and enrich apparel product data with detailed textual metadata (attributes like category, sub-category, brand, color, texture, fit, etc.).
Product auto-tagging: Glisten automatically tags selected products with one click. Product tags are generated according to a customized taxonomy, with high accuracy.
On-site product research: Detailed and rich product tags help improve on-site product research and engages shoppers.
Product recommendation: Structured product attributions enable merchants to surface and recommendation similar or complementary products to shoppers, driving sales and conversions.
Search Engine Optimization (SEO): Enriched product tags improve SEO and drive more traffic to your store.
Analytics and trend predication: Glisten empowers merchants and marketers to analyze and predict fashion trends by providing normalized product information.
Automatically generate tags for up to 50 products.
Automatically generate tags for up to 300 products.
Automatically generate tags for up to 2000 products.
Integrations with other search, filters, and personalization apps
White glove service
Add additional attributes
* All charges are billed in USD. Recurring charges, including monthly or usage-based charges, are billed every 30 days.
Most recent reviews
Princess Polly USA
App really expedites tagging products, as the AI is really smart in reading our product photos. Very useful in helping tag a large number of products quickly. The team has been incredibly helpful, and answers questions or find solutions in a very timely manner.