Vue.ai’s product tagging solution, VueTag, helps eCommerce retailers create detailed tags and product metadata in a matter of minutes - saving a lot of the time and cost involved in manual labour.
Trusted by over 150+ retailers across the globe
Vue.ai’s product tagging solution, VueTag, uses data extraction and data prediction to enhance product data. With AI, it extracts and enriches product data from structured or unstructured visual and textual inputs. The automated process is instant, learns from feedback, and can learn customized tags. It helps save manual effort, time, and resources.
Use VueTag's exhaustive vertical-specific taxonomy and build on it for custom requirements to standardise tags and manage your catalog classification efficiently.
Map product attributes to tags and create titles, descriptions, and other text content with AI.
Offer nuanced filters and categories as products are tagged across a wide range of attributes.
Rich product data with detailed tags that ensures that every search shows accurate results.
Detailed product tags along with relevant titles and descriptions ensure that shoppers make informed shopping decisions.
Vue.ai’s tags are SEO friendly, ensuring products are discovered when shoppers search for them on the web.
Map nuances in shopper preferences with deep product data and show them exactly the products they’d love.
For retail teams that curate products for different channels, detailed A.I. tags can help find relevant products and styles easily.
Standardize and enrich your product data with a consistent, domain-specific taxonomy for improved data integration, data retrieval, and data cleansing.
Automatically group products with similar attributes together for better product discovery, filtering and navigation.
Vue.ai’s ML tagging tool enables eCommerce retailers to structure and label product data efficiently. The tool can be used for building custom taxonomies and attribute structures based on business priorities. Through the tool, users can visualize the catalog spread and create AI models that can label, categorize and organize data at scale. Both the output structured product data and the trained models can be exported to fit into any existing systems.
*Observed for a European customer using Vue.ai’s tagging solution
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