Turn incomplete records into channel-ready products without manual copy-paste. Enrichment uses your product families, attribute rules, locales, and linked DAM assets — not generic web scraping.
Typical flows
- Gap detection — completeness scores show missing required fields per channel.
- Bulk suggest — AI Content Studio proposes values for hundreds of SKUs.
- Review queue — editors accept, edit, or reject before publish.
- Recalculate — completeness updates; syndication gates unlock.
What gets enriched
| Area | Examples |
|---|
| Marketing copy | Short description, long description, SEO meta |
| Marketplace | Amazon bullets, Shopify title, search keywords |
| Technical | Spec tables normalized from supplier text |
| Locales | Translation drafts with glossary constraints |
Governance
- Tenant-scoped models and prompts
- No cross-brand data in suggestions
- Audit trail on accept/reject
- Workflow stages can require human approval before
active status
Try it
| In the UI | Via API / MCP |
|---|
| Zen AI on a product | find_products_needing_enrichment, set_product_attribute |
| Content Studio bulk job | Product + attribute APIs |
| Completeness dashboard | analyze_product_completeness, get_product_completeness |
→ Product intelligence · AI workflow: multilingual catalog