AI-powered product tagging speeds up the process of tagging products in catalogs based on various attributes and taxonomy labels to logically categorize and organize. Products are tagged by color, material, size, style, or any other critical specifications using AI, enabling easy search and filter, navigation, and product discovery.
eComNeo, our AI-powered platform, works on advanced AI, NLP, and image recognition models to analyze product data, images, and vendor feeds. The ecommerce platform extracts key attributes, identifies missing details, and applies tags, helping teams tag products at scale.
(sizes, colors, fits, fabrics)
(features, specs, compatibility)
(style, dimensions, material)
(ingredients, skin types, benefits)
(large SKU volumes, diverse data sources)
Ingests images, text, vendor feed, and marketplace feed from multiple data sources
Provides accurate tags and enriched attributes in different export formats (CSV/JSON) or via API endpoints
Connects with PIM, CMS, ERP, and marketplaces, offering a smooth flow of data
Our ecommerce product tagging platform keeps learning and improving with every dataset and feedback loop
Offers complete transparency during every stage of data extraction, processing, and item tagging
Follows global data security and protection standards with built-in privacy measures