AI-POWERED CATALOG MANAGEMENT SOLUTION

Manage catalogs & product data better with A.I.

Vue.ai helps retailers build well-organized catalogs by using A.I. to improve product data, moderate content, create images, and more.

Trusted by over 150+ retailers across the globe

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AI-powered solutions for eCommerce catalogs

Vue.ai helps retail product, catalog, and vendor onboarding teams save time and go-to-market faster than before with a set of A.I. solutions. Retailers can create and standardize catalog text and image content with AI-powered product tagging and image moderation. Fashion businesses can use A.I. to create on-model product photos without resource intensive photoshoots. The A.I. also helps visualize the catalog better to identify trends and gaps in the assortment.

Impact of Vue.ai’s catalog management solutions

51
%
increase in catalog accuracy for better search and discovery
~
75
%
of traditional photoshoot costs saved
40
%
increase in conversion rate *
30
%
increase in unique product views *

*improvement due to enriched product data

Better product catalogs with A.I. solutions

Automate product tagging
Generate high-quality
product content
Automate image moderation
Create on-model
fashion photos
Visualize assortment better

Enrich retail catalogs by using A.I. to extract and enhance product data - making it accurate, granular, and standardized across the catalog.

Build titles, descriptions and other content for product detail pages using visual and textual cues derived from the product input. Enrich product metadata with domain-specific, SEO-friendly keywords to improve product discovery on search engines and within the eCommerce site.

Automate the quality assessment of product photos from seller catalogs to ensure they match the site’s guidelines using A.I. Check for basic eCommerce guidelines and train the A.I. for additional custom requirements.

Use A.I. to build high quality on-model product photos for the fashion catalogs - without the need for any elaborate photoshoots.

Visualize and collect meaningful insights from catalog data to identify trends and gaps in assortment using A.I.

Vue.ai tools for A.I. catalog management

The VueTag Dashboard

Tag retail products in real time with A.I.

Instant product tags & metadata

The 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 you with an overview of the number of images tagged, tags generated and verified, and the accuracy of those tags.

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.

The VueModel Dashboard

Create on-model fashion product photos with A.I.

Upload input product images in bulk

Upload all the input product images in batches, based on when you want them to be processed.

Curate your styling closet

Create a closet with individual products that you wish to use for styling.

Style your products

Have the flexibility and style products in your own way before sending it across for processing.

Review products in bulk

Review photos at scale and share feedback highlighting areas directly from the dashboard - and minimize turnaround time.

Export output images

Download selected output images or all images together with a single click of a button.

ML Tagging Tool: Get A.I. in the hands of every team

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

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, the 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
Marita Abraham

Marita Abraham,

CMO, Zilingo

"We have millions of products on the platform so it’s very challenging to be able to catalog collections effectively and show them to a customer at the point of sale or discovery. That’s a very relevant aspect to our business. That’s why we are using A.I. to curate fashion collections in an automated and scalable way."

Eileen Rizzo,

Eileen Rizzo,

SVP, IP

"The poor quality of our product data and attributes impacted the search experience and conversions on our eCommerce site. On deploying Vue.ai’s Image Recognition technology, we saw the ability to improve the speed and the throughput of our product tags."

Elisa Rossi

Elisa Rossi,

Co-founder

"In these challenging times, VueModel is the perfect example of how a technology became a lifesaving, necessary technology."

Karen Bruck

Karen Bruck,

VP Marketplace - South America Markets

"When it comes to product discovery on an eCommerce platform, everything from our search algorithm to our recommendations and push notifications is important. That is why we are partnering with Vue.ai, to really push the bar and get some of those world standards to be introduced to our platform."

Request a free demo

A.I. Catalog Management Solution

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

  1. Get an in-depth understanding of our catalog management solution and its capabilities
  2. Understand how other retailers are using our catalog management solution to achieve 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

Retailers can save 75% of photoshoot costs with automated on-model fashion imagery

READ BLOG POST »

Reduce Photoshoot Costs:
A Retailer’s Guide

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

READ CASE STUDY »

How Diesel uses A.I. to fix
their product data

Learn the fundamentals of managing product data and how you can improve upon existing systems.

READ BLOG POST »

Efficient Ways To Manage
Product Data

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