Build and enrich retail product data using AI’s product data platform, 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 product data 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 A.I. 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
reduction in time to market
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 engine extracts tags from products and the catalog feed to enrich search, description, and 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.

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

The product data platform 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.

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.

Continuous Learning

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

Custom Tags

The product data platform 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 the team at, allowing new categories to be tagged anytime.

VueTag Tools

The SaaS & ML tools allow an 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. 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
AI Powered Product Tagging and Content Generation
The product data platform can map product attributes to tags and create titles, descriptions, and other text content with A.I. Use VueTag’s exhaustive vertical-specific taxonomy and build on it for custom requirements to standardise tags and manage your catalog classification efficiently.
Automated Content Moderation
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.

ML Tagging Tool: Get the most out of your data by empowering teams with AI’s ML tagging tool enables 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.

Build attribute structure

The tool allows all users to build their own catalog taxonomies and attribute structures based on what works for their business.

Visualize your data

Using CV and NLP, the tool processes and plots data points on a 2D canvas based on the extracted attribute vectors for users to visualize their products.

Organize your data

The users can drag and drop a few sample products into the attribute groups they match - from which the machine learns and clusters rest of the products instantly.

Export labelled data

The tool facilitates easy exporting of labelled product data and predictions into a CSV file, which can be used across the eCommerce site or independently.

Deploy ML model

The trained models along with custom taxonomies can be exported to fit into any existing systems.

Why VueTag

 Product Intelligence with AI

Product Intelligence
with AI

Custom tag support

Instant product tags &

AI-powered image & text moderation

AI-powered image &
text moderation

Customizable AI


Customizable AI


Catalog assortment insights & reports

Catalog assortment
insights & reports

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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