Demand forecasting, pricing and campaigns from one data stream

The scenario takes data on sales, reviews, stock and social, forecasts demand, recalculates pricing and restocking, and sends alerts and emails.

  • All sales data in one scenario
  • AI forecasts demand and customer sentiment
  • Prices, promotions and restocking recalculated automatically
  • Teams and customers get notified
Webhook
Set it up for yourselfScriptera

How it works

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

  1. Starts when: Webhook - Ingest Data
  2. Then: Workflow Configuration
  3. Check: Route by Data Type
  4. If yes: Normalize Orders
  5. Check: Validate Orders
  6. Then: AI Agent - Demand Forecasting
  7. Check: Merge Analysis Results
  8. Then: Remove Duplicate Records
  9. Then: Apply Pricing Rules
  10. Then: Apply Promotion Rules
  11. Then: Apply Replenishment Rules
  12. Check: Check for Exceptions
  13. If yes: Wait for Manual Review
  14. Then: Store in CRM Database
  15. Then: Prepare Campaign Data
  16. Then: Send Email Campaign
  17. Then: AI Agent - Product Recommendations
  18. If no: Normalize Reviews
  19. Check: Validate Reviews
  20. Then: AI Agent - Sentiment Analysis
  21. If no: Normalize Inventory
  22. Check: Validate Inventory
  23. Then: Store in Inventory Database
  24. Then: Notify Supply Chain Team
  25. If no: Normalize Social Media
  26. Check: Validate Social Media
  27. Then: Notify Customer Support Team
  28. Then: OpenAI Chat Model
  29. Then: Structured Output - Sentiment
  30. Then: Structured Output - Forecast
  31. Then: Structured Output - Recommendations

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

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