Every day your products aren’t discoverable you’re losing revenue.

Data enrichment connects intent, visibility, and conversion - today’s edge and tomorrow’s standard.
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Every day your products aren’t discoverable <span>you’re losing revenue</span>.
Fashion Product Attribution Platform

You don’t need months to fix your product data.

With over a decade of experience in enterprise catalog enrichment, Stylitics gets you live fast - delivering structured, on-brand content with the depth and accuracy global retailers expect.

Enriched Product Data Drives Real Results

+16.4X
ROI on Incremental Ad Spend
+9.3%
Conversion Lift
+6.3%
ROAS
01

The Fastest Way to Enrich Your Catalog

From Raw Data to Retail-Ready Content

Automatically clean, standardize, and enrich your catalog to improve search, discovery, and personalized shopping experiences.

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  • Contextual Tags That Power Revenue

    Enrich your products with styling logic, occasion context, trend relevance, and compatibility insights—powering smarter product bundling, personalization, and AI-driven merchandising.

  • Attribute Extraction at Scale

    Extracts rich, retail-specific attributes—like silhouette, sleeve shape, and fabric composition—across your entire catalog in minutes.

  • Cross-Catalog Normalization

    Standardize product attributes like colors, fit types, and sizing across brands and categories to reduce filter fatigue and ensure consistent on-site experiences.

  • Data Built to Flow Across Your Ecosystem

    Connects directly to your PIM, ecommerce platform, channel feeds, and marketplaces—no engineering tickets or messy workarounds. Stylitics supports enterprise workflows with API-ready output and infrastructure built to scale.

02

Win Across SEM, SEO, and GEO

Use Enriched Data to Drive Traffic and Performance

Transform your basic product feed into structured, search-optimized content that improves visibility, lowers acquisition costs, and drives higher-value traffic across paid and organic channels.

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  • Auto-Generate Google Merchant Feeds

    Enrich titles, descriptions, and metadata with trend, occasion, and style tags to improve ad rank, product relevance, and CTR in ad platforms like Google Merchant Center.

  • SEO-Optimize Every PDP Automatically

    Inject structured schema markup, alt text, and title tags directly into product pages to increase visibility for long-tail, non-branded, and trend-based queries.

  • Lift Organic and Paid Performance Together

    Improve search relevance, ad rank, and drive more qualified clicks without duplicating effort across teams.

  • Future-Proof for Generative Engine Optimization (GEO)

    Create machine-readable product data optimized for AI-powered search engines like Google AI Overviews, Perplexity, Copilot, and ChatGPT.

03

GenAI Trained for Retail

Automatically Optimized On-Brand Product Copy

Generate clean, consistent, and conversion-optimized product copy. Every PDP gets the depth, detail, and structure it needs to rank in SEO, surface in AI search, and convert real shoppers.

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  • Auto-Generate On-Brand Titles, Bullets, and Descriptions

    Turn unstructured product data into compelling, brand-compliant copy that’s readable, relevant, and designed to convert. No writing or templates required.

  • Build for SEO and GEO in One Workflow

    Enrich copy with high-value keywords, detailed attributes, and product relationships that support both traditional SEO and Generative Engine Optimization.

  • Inject PDPs with Conversion-Ready Language

    Reinforce buyer confidence with clear product benefits, use cases, and styling context to drive purchase decisions where details matter.

  • Syndicate Consistent, On-Brand Content

    Ensure consistency across PDPs, landing pages, search feeds, and marketplaces by generating copy from the same enriched data layer.

04

Search That Speaks Fashion

Your Search Results are Only as Good as Your Product Data.

Fashion-specific attributes power accurate, relevant, and intuitive site search to help shoppers find what they want, no matter how they search.

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  • Faceted Navigation With Structured Attributes

    Automatically apply consistent tags like fit, neckline, sleeve shape, and material to unlock intuitive filters and improve product discovery across your catalog.

  • Translate Catalog Data into Customer Language

    Whether someone types “puffy sleeves,” “balloon sleeves,” or “statement sleeves,” enriched data connects real-world language to your product taxonomy, to reduce zero-result pages and improve search relevance.

  • Support Semantic, Natural Language, and Visual Search

    Enable your site search engine to understand queries like “neutral outfit for a spring wedding” and return accurate results without relying on exact-match keywords.

  • Deliver Real-Time Personalization

    Surface smarter recommendations as shoppers browse with product data that reflects style, intent, and use case without third-party tracking.

Over a decade of deep enterprise catalog enhancements supporting 175+ leading retailers

What our customers are saying about us

“Stylitics is a great example of digital testing and innovation. There are experiences out there that we could never think about five years ago… Now we see what [Stylitics] can do and how our customers enjoy it and it benefits their experience.”

Retail Apparel, 
Head of digital product

Explore More Resources

Inside Stylitics Labs: Our Journey to On-Brand AI-Generated Imagery
Blog
July 28, 2025

Inside Stylitics Labs: Our Journey to On-Brand AI-Generated Imagery
Fashion Product Bundling Strategies: Inspire More Purchases and Maximize AOV
Blog

Fashion Product Bundling Strategies: Inspire More Purchases and Maximize AOV
Shop the Look vs. Complete the Look: How to Win at Every Stage of the Shopper Journey
Blog

Shop the Look vs. Complete the Look: How to Win at Every Stage of the Shopper Journey
Complete the Look Recommendations: How Retailers Turn Shoppers Into Confident Buyers
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Complete the Look Recommendations: How Retailers Turn Shoppers Into Confident Buyers

Meet the Inspirational
Commerce Platform

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