Automatic property matching and deal scoring for buyers

The scenario takes buyer requests, removes duplicates, matches suitable properties, sends decks and scores each deal. You reply to buyers in minutes and get a clear list of who to follow up with.

  • Buyers get an answer within the hour, not in three days
  • Duplicate leads are filtered out before they hit your base
  • Property decks go out on their own
  • Sales sees which deals have the best odds
WebhookGoogle Sheets ToolGoogle Drive Tool
Set it upScriptera

How it works

Automating devino and Databricks takes no code: a ready-made scenario does the routine for you.

  1. Starts when: ⏰ Deal Scoring Cron Trigger1
  2. Then: 📋 Fetch Buyer Engagement Records1
  3. Then: 🤖 AI Deal Scoring Agent1
  4. Then: ⚙️ Normalize Deal Score Output1
  5. Then: 📧 Send Deal Score to Sales Team1
  6. Then: 🗂️ Set Buyer Preferences1
  7. Then: 🤖 AI Dedup & CRM Check Agent1
  8. Then: ⚙️ Normalize Dedup Result1
  9. Check: 🔀 Route: Duplicate or New Lead?1
  10. If yes: 📧 Send Duplicate Follow-Up Alert1
  11. If no: 📝 Save New Lead to CRM Sheet1
  12. Starts when: 🔔 Buyer Lead Webhook1
  13. Then: 🧠 Azure OpenAI – Dedup Model1
  14. Then: 📋 Read CRM Sheet for Dedup1
  15. Starts when: 📊 New Buyer Row Trigger1
  16. Then: 🤖 AI Property Matching Agent1
  17. Then: ⚙️ Normalize Property Match Results1
  18. Then: 📝 Save Matched Properties to Sheet1
  19. Then: 🤖 AI Property Deck Search Agent1
  20. Then: ⚙️ Normalize Deck Details1
  21. Then: 📧 Send Property Deck to Buyer1
  22. Then: 📝 Log Deck Send Event to Sheet1
  23. Then: 🧠 Azure OpenAI – Matching Model1
  24. Then: 📋 Read Available Properties Sheet1
  25. Then: 🧠 Azure OpenAI – Deck Search Model1
  26. Then: 📂 Search Property Deck in Google Drive1
  27. Then: 🧠 Azure OpenAI – Deal Scoring Model1

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

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