Group customer reviews into insights — automatically

The scenario collects reviews, groups similar ones into themes and writes a short insight for each, then saves the result to a sheet.

  • Reads and groups reviews for you
  • Merges similar ones into themes
  • A ready insight per theme
  • Results land in a sheet
Default Data LoaderEmbeddings OpenAIQdrant Vector Store

How it works

To move data from LoneScale to Pinecone Vector Store automatically, use a ready-made scenario — no manual exports.

  1. Starts when: When clicking ‘Test workflow’
  2. Then: Set Variables
  3. Then: Clear Existing Reviews
  4. Then: Get TrustPilot Page
  5. Then: Extract Reviews
  6. Then: Zip Entries
  7. Then: Reviews to List
  8. Then: Qdrant Vector Store
  9. Then: Prep Values For Trigger
  10. Then: Trigger Insights
  11. Then: Default Data Loader
  12. Then: Recursive Character Text Splitter
  13. Then: Embeddings OpenAI
  14. Then: Get Payload of Points
  15. Then: Customer Insights Agent
  16. Then: Prep Output For Export
  17. Then: Export To Sheets
  18. Then: Clusters To List
  19. Check: Only Clusters With 3+ points
  20. Then: OpenAI Chat Model
  21. Then: Set Variables1
  22. Then: Find Reviews
  23. Then: Apply K-means Clustering Algorithm
  24. Starts when: Execute Workflow Trigger

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