Built for discovery-ready catalog data

Turns Messy Product Data Into Search-Ready Catalog Intelligence

Catalog Enrichment cleans, enriches, and structures product data using both titles and images so ecommerce teams can improve discoverability, build better collections, and scale merchandising faster.

Built for ecommerce teams that want cleaner catalog data without scaling manual work.

Understands product titles and images
Improves category accuracy and discoverability
Built for discovery, SEO, and conversion

Why catalog intelligence matters more than ever

Catalog data now powers far more than product pages. It shapes search relevance, collection quality, landing page creation, merchandising speed, and how easily shoppers discover the right products.

As catalogs scale, inconsistent or incomplete data creates friction everywhere. Better catalog intelligence improves the quality of the entire commerce experience.

Better discovery

Better product data improves search relevance, autocomplete quality, and overall product findability.

Better merchandising

Cleaner data makes it easier to organize, sort, curate, and surface products strategically.

Better growth workflows

Structured enrichment supports collections, landing pages, and content creation at scale.

Where catalog quality starts to break down

Why ecommerce catalogs become harder to manage as they grow

Most product catalogs get messier over time. Categories drift, tags become inconsistent, key attributes stay missing, and manual cleanup stops scaling.


That affects more than search. It slows merchandising, weakens collections, and makes product discovery less reliable.

Common friction points

  • Products end up in the wrong category or multiple low-value categories.
  • Useful discoverability signals like tags and structured attributes are often missing.
  • Manual enrichment takes too much time and still leaves gaps.
  • Text-only enrichment tools often miss important product context.
  • When titles, images, or product data change, enrichment quickly becomes outdated.

What Catalog Enrichment does today

Catalog Enrichment helps ecommerce teams clean, structure, and enrich product data at scale so catalogs become easier to search, merchandise, and grow from.

Fix the foundations before poor data affects discovery

Cleans and corrects catalog structure

Catalog Enrichment identifies low-value, irrelevant, or inaccurate categorization and helps make the catalog cleaner and more usable across your store.

  • AI-based category cleanup
  • Removal of irrelevant or low-search-value categories
  • Automatic gender assignment
  • Selective re-enrichment when core product data changes

Add stronger discoverability signals without manual tagging

Makes products easier to discover

Catalog Enrichment adds the kinds of search-ready and browse-ready signals that help products surface more accurately across discovery journeys.

  • AI-generated search tags
  • Search-ready enrichment
  • Discoverability-focused attributes
  • Works alongside AI-generated autocomplete suggestions in the wider AI stack

Use product titles and images together for stronger enrichment

Understands more than text

Catalog Enrichment uses product titles and main images together, which helps the enrichment process better reflect what the product actually is and how it should be classified.

  • Image-aware enrichment
  • Title-aware enrichment
  • Better category and tag accuracy
  • Stronger product understanding than text-only enrichment

Automate enrichment while keeping control over the rules

Scales with merchant control

Catalog Enrichment is designed for scale, but merchants still keep control over how enrichment behaves and evolves.

  • Merchant-specific rule tuning through custom prompts
  • Batch processing for large catalog updates
  • Selective re-enrichment when source data changes
  • Scalable enrichment without constant manual work

Why image-aware enrichment matters

Many enrichment tools rely too heavily on product text alone. But titles are often incomplete, inconsistent, or written for merchandising instead of classification.


Catalog Enrichment uses both titles and product images to create a stronger understanding of what the product is and how it should be enriched.

What that improves

Better category accuracy

Products are easier to classify correctly from the start.

Better enrichment quality

Additional context helps attributes and tags reflect the product more reliably.

Better discoverability signals

Products surface more accurately across search, browsing, and collection workflows.

More confidence in automated cleanup

Teams can scale enrichment with less manual review and correction.

Built for richer structured enrichment layers

Catalog Enrichment is designed to expand beyond cleanup and basic enrichment into richer, structured product intelligence that supports more advanced discovery, merchandising, and content workflows.

Discovery-ready attributes

  • Occasion
  • Style and aesthetic
  • Use-case
  • Audience or persona
  • Seasonality
  • Material, fit, silhouette, and pattern

Catalog structure improvements

  • Primary category recommendation
  • Canonical category mapping
  • Search alias and synonym generation
  • Query suppression for irrelevant search matches

Growth and content support

  • Landing page theme suggestions
  • SEO keyword suggestions for collections and landing pages
  • Collection or category naming suggestions
Designed to support richer enrichment layers as catalog intelligence workflows continue to evolve.

From messy catalog to usable catalog intelligence in 3 steps

The workflow is built to improve catalog quality quickly without adding another manual cleanup cycle for your team.

01

Connect your product data

Bring in your catalog feed with minimal setup so enrichment can begin quickly.

02

Catalog Enrichment cleans and enriches it

AI reviews product titles and images, improves structure, and adds stronger discoverability signals automatically.

03

Teams put better data to work

Better catalog intelligence improves search, collections, merchandising, and other product-finding workflows.

What better catalog intelligence improves

Cleaner, richer product data makes the catalog easier to use across multiple workflows, not just search.

Better search relevance

Richer and cleaner product data helps shoppers find relevant products faster.

Cleaner catalog structure

More accurate categories, tags, and enrichment reduce manual maintenance and cleanup effort.

Faster new product readiness

Products become easier to enrich and activate across discovery workflows from the start.

Better merchandising agility

Teams can build collections and curated experiences faster with stronger product signals.

Stronger landing page inputs

Better structured catalog signals support more effective collection and landing page creation.

More scalable catalog operations

Teams spend less time fixing data and more time using the catalog to drive growth.

Loved by World's Leading Brands

Join 1000+ stores that trust Wizzy to power their search experience and drive revenue growth

Turn your catalog into a stronger foundation for discovery, merchandising, and growth

Catalog Enrichment helps ecommerce teams clean, enrich, and structure product data so the catalog becomes easier to search, organize, and scale from.