Conversational product operations
Ask questions in natural language; get answers grounded in your tenant catalog — then act in the UI or through MCP tools.
Zen AI (in-product)
Examples editors ask every day:
- “Which footwear SKUs are below 70% completeness for Amazon UK?”
- “Draft a French short description under 200 words for SKU
ABC-123.” - “What attributes are missing on this product family for Shopify?”
- “Why is this variant blocked from publish?”
Zen AI reads live products, families, completeness, and channel rules — not a CSV export.
→ Zen AI
MCP (in your AI client)
Same catalog, tool calls instead of chat UI:
search_products → analyze_product_completeness → set_product_attribute → quick_publish
Works in Claude, ChatGPT, Gemini, Cursor, VS Code, Windsurf.
→ MCP overview · Automation examples
When to use which
| Need | Zen AI | MCP |
|---|---|---|
| Merchandiser exploring one product | ✓ | |
| Developer scripting nightly fixes | ✓ | |
| “Publish these 12 IDs to Shopify” | ✓ | |
| Training a new hire on completeness | ✓ |
Both respect permissions and tenant scope.