AI store support: orders, refunds and stock — handled for you

The scenario answers store customers: it finds the order and stock, decides what to do — refund, escalation or stock alert — and writes the reply while logging the whole history.

  • Answers to customers in seconds, not hours
  • Order and stock data pulled in automatically
  • Refunds and hard cases routed on their own
  • Every exchange stored in your database
WebhookShopifySlack
Set it up for yourselfScriptera

How it works

To get Postgres notifications in Keap, you don't need a developer: a ready-made scenario watches events and sends messages for you.

  1. Starts when: Receive customer support request
  2. Then: Fetch order details from Shopify
  3. Check: Merge order and inventory data
  4. Then: AI agent analyzes query and classifies intent
  5. Check: Route by customer intent
  6. If yes: Process refund via Shopify API
  7. Then: Build final customer response
  8. Starts when: Send immediate webhook acknowledgement
  9. Then: Email AI response to customer
  10. Then: Log success and track agent statistics
  11. Then: Post interaction summary to Slack
  12. If yes: Store interaction in PostgreSQL
  13. If yes: Escalate complex cases to human agent
  14. If no: Send low stock alert to team
  15. Then: Fetch inventory levels from Shopify

You can launch this Postgres + Keap integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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