AI Product Tagging & Catalog Enrichment for Fashion

Automate product tagging, title generation, and catalog enrichment for fashion ecommerce. Pixyle AI processes 336K+ images/day with 95%+ accuracy. Eliminate manual data entry, accelerate time-to-market 10x.

Trusted by leading fashion commerce brands

Scaling Your Business Shouldn't Mean More Manual Work

The Go-Live Backlog

Products sit in draft mode for weeks waiting for manual descriptions. Go live the same day you shoot your products with Pixyle AI.

The Scaling Trap

Manual tagging doesn’t scale. Automate product attribute generation to process thousands of new SKUs instantly.

The Taxonomy Chaos

"Navy" in one collection, "Midnight" in another. Ensure total consistency across multiple teams and regions.

The Visual Intelligence Layer for Your Commerce Stack

Pixyle AI acts as your Product Truth Layer, transforming raw images into structured metadata instantly. Eliminate manual data entry through Visual Intelligence.

Fashion-Specific Product Tagging

Industry-Leading Fashion Taxonomy. Extract 50+ granular attributes (neckline, fit, material, style) directly from the image.

Standardized Titles & Descriptions

Consistency Across 10,000+ SKUs. Automatically generate product titles and descriptions that follow your brand's unique PIM rules and tone of voice.

Catalog Cleansing & Enrichment

Cleanse Your Legacy Catalog. Fill the gaps in your old collections. Pixyle AI scans your entire inventory and adds missing attributes, making dead stock searchable and visible again.

Image-First Product Understanding

Extract product insights directly from images. We guarantee perfectly structured data and total accuracy, even when your supplier data is missing, incorrect, or completely inconsistent.

Why Fashion-Native Visual AI Beats Text-Based Tools

Built specifically for Fashion. We understand the difference between a Stiletto and a Kitten Heel - generic AI doesn't.

Text-Based AI

Relying on vendor descriptions means missing data. Without a visual engine, you lose granular fashion product data, creating gaps in your ecommerce catalog.

Pixyle Visual AI

Sees the product. Analyzes the actual image. We extract the "Truth" from the pixels, achieving 95%+ accuracy where generic AI fails.

Powered by the Pixyle AI Visual Intelligence Platform

While the Suite handles your daily cataloging, the Platform provides the "eyes" and "brain" that make it possible.

Frequently Asked Questions

Get quick answers about our Pixyle AI-driven solutions for ecommerce and fashion product attribution.

What is the Pixyle AI Data Foundations Suite?

The Data Foundations Suite is Pixyle AI's core product suite for fashion brands and retailers. It automatically generates three types of foundational product data from product images: product attributes (tags), standardized product titles, and product descriptions. All three are generated by AI models trained specifically on fashion — ensuring fashion-native accuracy at catalog scale. The suite processes up to 336,000 product images per day with 95%+ accuracy.

How does Pixyle AI's product tagging work?

Pixyle's AI uses computer vision models trained exclusively on fashion imagery to analyze each product image. From a single image, the AI identifies and extracts 100+ structured attributes — including color, material, pattern, silhouette, neckline, sleeve length, fit, and hundreds of category-specific attributes. The result is a structured data record that can be pushed directly to your PIM or e-commerce platform. No manual input is required.

How accurate is the AI-generated product data?

Pixyle AI achieves 95%+ accuracy on product attribute generation, with 93% confidence on image classification tasks. The models are trained specifically on fashion — not generic e-commerce — which means they understand nuanced fashion vocabulary (sleeve lengths, fabrications, silhouettes, pattern types) with the precision required for production use. All AI-generated content can be reviewed and edited in the Pixyle AI platform before export.

Does the Data Foundations Suite support multiple languages?

Yes. Pixyle AI's core attribute generation, title generation, and description generation work across multiple languages. For brands operating across international markets, the Multi-Language Module (an add-on) enables automatic translation and localization of all generated product data — adapting content to regional preferences and vocabulary, not just literal translation.

How does the Data Foundations Suite integrate with our PIM and tech stack?

The Data Foundations Suite integrates with your existing stack via the Pixyle AI no-code platform or the Pixyle AI RESTful API. Supported integrations include Akeneo, Salsify, inRiver, Shopify, Salesforce Commerce Cloud, Magento, and more. Pixyle AI is designed to complement your PIM — not replace it. It feeds accurate, structured product data into the systems your team already uses.

Satisfied clients speak

Hear from those who trust and love our services.

Joost V.
Joost V.
CEO and Founder

"Pixyle.ai's team shows a deep passion for AI. This dedication is reflected in the quality of their service. The ease of integration of their API was a major plus."

Laura P.
Laura P.
Project Manager Commerce Technologies B2BEnterprise

"Liked everything! With the implementation of Pixyle's visual AI tagging, the laborious manual process of product data creation has been significantly streamlined."

Bradley K.
Bradley K.
Director Product & Engineering

"Working with Pixyle AI has been a game changer for us. Their automatic tagging feature has saved us countless hours of manual work and improved the accuracy of our product tags."

Alvaro B.
Alvaro B.
VP Platform

"What differentiated Pixyle AI was the depth of their taxonomy. Pixyle AI had more tags per category of items, and what we paid for tagging generated 10x incremental net revenue to the company."

Bianca R.
Bianca R.
Founder and CEO

"Pixyle AI are our most trusted suppliers. They constantly improve their proposition and are extremely helpful for any bespoke customer needs."

Jonny K.
Jonny K.
Managing Director

"We went from 60 to 120 listed items per hour, and that's with adding 20 to 30 extra data points. For us, eBay was making about 2,5% of our total revenue.Since building in the AI we've gone up close to between 15% to 20% in revenue"

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