Build and enrich retail product data using AI

VueTag uses AI to extract and enrich product data from structured or unstructured visual and textual inputs. The automated process is instant, learns from feedback, saving manual effort, time, and resources.

Trusted by over 150+ retailers across the globe

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Extract, enhance, and organize product data better with VueTag

VueTag uses computer vision and Natural Language Processing to extract data from images and text, and power a wide range of solutions. The platform includes solutions to assess the quality of product images and text, build and enrich product tags and metadata, and sort data to give assortment and catalog insights. The AI systems are able to process thousands of products in mere minutes - saving time and resources, while improving quality.

Impact retailers have seen with VueTag

increase in catalog accuracy for better search and discovery
time saved per person per week
tags predicted in 2020
Flexible integration
Custom capabilities

*Observed on an average for VueTag customers across the globe


Image Recognition

VueTag’s Image Recognition Engine helps detect and tag visual attributes in the products and assess the quality of product photos.

Natural Language Processing

The NLP engines extract tags from products and the catalog feed to enrich search, description, discoverability with product content.

Data Prediction

The algorithms are trained to predict data or tags when there is no information available using both image recognition & past available data.

Continuous Learning Ability

The engine continuously learns from QA input, creates new custom tags, and more.

Custom Tags

VueTag can be trained to generate new or custom tags based on retailers’ requirements.

Machine Learning Models

The engine has thousands of ML models - generated both by retailers and Team, allowing new categories to be tagged anytime.

VueTag Tools

The SaaS & ML tools allow easy way for users to give feedback, generate custom tags, view analytics & more.

Data Visualization

VueTag can sort and visualize catalog data in different ways for retailers to be able to make better decisions.

Flexible Integration

The tool can integrate easily with most PIM solutions, and can also support custom integration requirements.

Product Content Generation

VueTag generates product content, titles and descriptions from the product data that was extracted from the images.

Repository of Tags

VueTag’s library contains thousands of tags and attribute values in the repository for all retail categories.

EAN Lookup

When provided with EANs as a part of the input, VueTag can find the products on EAN lookup databases and list attributes and data linked there.

OCR Detection

VueTag uses OCR (Optical Character Recognition) on product labels and packaging to extract attributes like product dimensions, wash instructions, ingredients list, etc.

Market Source Lookup

For grocery retailers, VueTag can extract product attributes and other information from open market sources from the same segment and geography.

Solutions for improved product data performance

Product tagging
and content creation
Automated image moderation
Assortment Analysis
Map product attributes to tags and create titles, descriptions, and other text content with AI Use VueTag’s exhaustive vertical-specific taxonomy and build on it for custom requirements to standardise tags and manage your catalog classification efficiently.
Assess, at scale, whether product photos and textual data comply with your image quality standards and guidelines.
Sort data to visualize catalog assortment for better buyer and merchandising decisions.

The VueTag Dashboard

Instant product tags & metadata

The tagging tool generates detailed, high-quality product tags, and titles & descriptions instantly.

Review and edit tags

The tool gives you the flexibility to evaluate and modify tags for holistic QA.

Bulk edit

With the Bulk Edit feature you can perform quality checks for multiple images uploaded and tagged - all in one go.

Tagging dashboard

The tool provides gives you an overview of the number of images tagged, tags generated and verified, and tag accuracy.

Catalog assortment insights

The tool gives you a complete picture of catalog - at category, attribute, and batch levels.

Accuracy reports

The tool helps with QA by providing confidence scores and accuracy reports of tags in every batch.

ML Tagging Tool: Get AI in the hands of every team

Fastest way to organize your data | No-code model building | Instant time to value’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.

Build attribute structure

Build your taxonomy - a hierarchy of attributes relevant to your data segment, business and use case.

  1. Provide a structure to organizing your data, visualizable in a tree-like form.
  2. Choose from predefined, segment-specific taxonomy, or create and customize your own taxonomy from scratch.

Visualize your data

CV and NLP models process your data, and plots data points on a 2D canvas based on the extracted feature vectors.

  1. Visualize your data spread and mix.
  2. Easily realize distance-based similarities and differences between data elements.

Organize your data

Drag and drop similar data points into labelled clusters. ML models learn and understand the intent behind each classification.

  1. Auto-labelling - System predicts labels for unlabelled data points.
  2. Prediction performance improves in each iteration, leading to orders-of-magnitude faster organization.

Export labelled data

Export labels and predictions generated into a CSV file, which can be used across your business systems or independently.

  1. Perform quality checks on prediction accuracy.
  2. Labelled data can be used to support search and personalization applications.

Deploy ML model

Generate an API endpoint with the custom-built ML model deployed for inference.

  1. Auto-organize new data - accurately predict classification across all features in the taxonomy.

Diesel observed faster product digitization in less time and a shorter go-to-market period with VueTag. They also saw a decrease in the effort taken to manually tag products and an improvement in the efficiency of product onboarding. The depth of the meta tags allowed enhanced search and detailed filters leading to better product discovery.

“Excellent Product with easy-to-use UI.”

We are using VueTag for all the product tagging. This allows us to cut down on the internal team to tag our products in the back end. Since VueTag already has the product attributes built out, it’s pretty straightforward to map out these fields. The product tags help our team look at product trends, and our filters heavily depend on these tags.

Eileen Rizzo,

Eileen Rizzo,

CIO, Ashley Stewart

We engaged with, which had the ability to actually reduce the headcount while increasing accuracy in increasing the throughput.

“Great products for eComm/fashion + support from a dedicated team!”

Fast + accurate + stable item data tagging that resulted in cutting our fixed costs and increasing sales. We were able to double the tagging speed with As a result, we were able to cut labor, spacing, equipment cost, etc (1/4 of what it used to be). Also, data standardization helped products searchability and improved sales.

Anandamoy Roy Chowdhary

Anandamoy Roy Chowdhary,

Director of Technology,
Sequoia Capital India

The team is on a mission to put AI and intelligent automation in the hands of teams across the globe in ways that improve productivity and growth multi-fold.

Request a free demo

VueTag: AI-Powered eCommerce Product Data Platform

Custom demos typically last for 30 minutes. In this time, you can expect to:

  1. Get a in-depth understanding of VueTag and its capabilities.
  2. Understand how other retailers are using VueTag toachieve their business goals.
  3. Discuss your unique needs and challenges.

One of our experts will get in touch with you on your work email. Rest assured, we respect your privacy.

Press & Media

The ultimate Excel alternative to build rich product data: AI Read how AI-powered systems extract and enrich retail product data.


Creating and Enhancing E-Commerce
Product Data with AI

Find out how the global fashion brand Diesel fixed its product tagging challenges with VueTag


How Diesel uses AI to fix
their product data

How easily your product can be found, both within your site and through search engines, depend on your catalog’s metadata.


Metadata: How Discoverable
Is Your Product


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