Vue.ai’s product tagging solution, VueTag, helps 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.
The tagging tool generates detailed, high-quality product tags, and titles & descriptions instantly.
The tool gives you the flexibility to evaluate and modify tags for holistic QA.
With the Bulk Edit feature you can perform quality checks for multiple images uploaded and tagged - all in one go.
The tool provides gives you an overview of the number of images tagged, tags generated and verified, and tag accuracy.
The tool gives you a complete picture of catalog - at category, attribute, and batch levels.
The tool helps with QA by providing confidence scores and accuracy reports of tags in every batch.
Vue.ai’s tagging tool allows anybody to build Machine Learning (ML) models that label, classify and enrich raw data within minutes. With this, any team can teach the system and build custom, ready-to-deploy ML models for any data organization need. Whether you want simple no-code tools or the full developer suite, our tagging tool has got you covered!
Our Goal - To enable teams to deploy data organization ML models into production in < 24 hours.
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
As products are tagged across a wide range of attributes, you can offer nuanced filters and categories with AI
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.
Detailed product tags along with relevant titles and descriptions to ensure products show up in search engine results.
With deep data about products, you can map nuances in shopper preferences better and show them exactly the products they’d love.
For retail teams that curate products for different channels, detailed AI 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.
*Observed for a European customer using Vue.ai’s tagging solution
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