Catalog operations agent for an online retailer
An agent that normalises product attributes, flags incomplete listings, and drafts enrichment suggestions for merchandisers.
Retail & e-commerce · Omnichannel · Illustrative case study
Multi-brand ecommerce operator
Challenge
Merchandising teams inherited inconsistent supplier data across markets. Incomplete attributes slowed publishing and hurt search quality on storefronts.
Approach
We defined attribute completeness rules per category and market, then trained reviewers on when to accept, edit, or reject agent suggestions.
Solution
A catalog ops agent that scores listing completeness, proposes missing attributes from supplier text, and batches changes for merchandiser review before publish.
Outcome
Illustrative composite: more listings ready for publish each week, with merchandisers focused on judgment calls instead of copy-paste cleanup.
Technical notes
- PIM/API connectors and category rule packs
- Suggestion batches with diff previews
- Human-in-the-loop publish gate