Catalog management services
Catalog & Product Data Foundation
Give every product the data foundation to be found, understood, and chosen.
The problem
Symptoms you will recognise.
Product data quality
Complete attributes across every category.
- Apparelup from 48%96%
- Electronicsup from 55%97%
- Home & furnitureup from 41%94%
- Industrial toolsup from 37%95%
Clean, complete product data powers search, filters, merchandising and AI discovery.
Gates it covers
Diagnose and Build
Two ways to buy Catalog and Product Data.
Per-batch pricing
Priced per batch of SKUs.
| Batch | What is included | Price |
|---|---|---|
| Up to 1,000 SKUs | Titles, specs, attributes | Fixed price |
| 1,000 to 10,000 SKUs | Plus enrichment and filters | Fixed price |
| 10,000+ SKUs | Plus supplier rules and upkeep | Quoted |
| Minimum job | One batch | — |
How AI agents and experts work on it
Agents watch discoverability, findability, clarity, flag changes and draft fixes.
Experts decide what matters, build it and check results.
Tools and platforms
- Akeneo
- Salsify
- inRiver
- Shopify
- Adobe Commerce
In depth
Catalog & Product Data Foundation
CXWorks builds and structures the product data layer across SKUs, attributes, taxonomy, variants, and specifications. The service supports new catalog creation, platform migrations, new-market launches, and legacy catalog cleanup, creating the data foundation required for stronger discoverability, findability, and relevance.
Customers cannot confidently find or evaluate products when key product information is missing, inconsistent, or difficult to compare.
Supplier data arrives in different formats. Attributes remain incomplete. Categories become inconsistent. Product specifications vary across channels. Over time, these gaps affect search, filtering, merchandising, product pages, and AI-powered discovery.
We help B2B, B2C, and D2C eCommerce businesses cover SKU and catalog building, product enrichment, categorization, and attribute governance creating structured product data to support stronger Discoverability, Findability, and Relevance.
FAQ
Catalog & Product Data Foundation creates the structured product data required for effective eCommerce discovery, search, merchandising, and channel distribution.
Catalog Foundation builds and structures product data. Digital Merchandising analyzes and optimizes the catalog for discovery, relevance, and commercial performance.
Yes. The service supports duplicate detection, missing-attribute remediation, categorization cleanup, enrichment, and ongoing catalog governance.
Yes. AI accelerates extraction, categorization, and first-pass content generation, while human review verifies the output before publication.
Start with a Catalog Audit when the size or quality of the data problem is unclear. The audit identifies the SKUs, attributes, and taxonomy issues that require remediation.
More ways to build