A bot that takes taxi orders — in any language

The bot runs the conversation, remembers the customer's past trips, works out the route and hands the finished order to your service — answering in the customer's language.

  • Remembers the customer and their past trips
  • Works out the route and travel time
  • Answers in the customer's language
  • The finished order goes to your service
Postgres Chat MemoryRedis ToolPostgres Tool
Set it up for yourselfScriptera

How it works

To connect SeaTable and Postgres Chat Memory, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: Flow Trigger
  2. Then: Input
  3. Then: Service Cache
  4. Check: If Service Cache
  5. If yes: Parse Service
  6. Then: Service
  7. Then: Reset Session
  8. Then: Delete Route Data
  9. Then: AI Agent
  10. Then: Route Data
  11. Check: If Route Data
  12. If yes: Parse Route
  13. Then: Taxi Service Provider
  14. Check: Switch
  15. If yes: Chinese
  16. Then: Call Back
  17. If no: Japanese
  18. If no: English
  19. If no: Output
  20. Then: Error Output
  21. If no: Load Service Data
  22. Check: If Active
  23. If yes: Save Service Cache
  24. If no: Inactive Output
  25. Starts when: Test Trigger
  26. Then: Test Fields
  27. Then: Postgres Chat Memory
  28. Then: Update User Session
  29. Then: xAI @grok-2-1212
  30. Then: Load User Memory
  31. Then: Save User Memory
  32. Then: Create Route Data
  33. Then: Find Route Distance

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

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