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.
有關 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.
Free Install generates tags for up to 50 products. Contact sales at glisten.ai for a larger custom plan.
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.