A housing-price forecast from historical data — refreshed on its own

Once a month the scenario gathers years of transaction data, processes it, builds a price forecast with AI, and saves the result to a sheet.

  • Historical data is gathered automatically
  • Trends and patterns are analyzed before forecasting
  • AI builds the forecast from prepared features
  • The result refreshes in the sheet every month
Set it up for yourselfScriptera

How it works

To move data from Monday.com to automatically, use a ready-made scenario — no manual exports.

  1. Starts when: Monthly Data Collection Trigger
  2. Then: Workflow Configuration
  3. Then: Fetch Current Year HDB Data
  4. Check: Merge All Historical Data
  5. Then: Data Cleaning and Normalization
  6. Then: Statistical Pattern Mining
  7. Then: Aggregate Statistical Features
  8. Then: AI Forecasting Agent
  9. Then: Format Forecast Results
  10. Then: Save to Google Sheets
  11. Then: Time Series Analysis
  12. Then: Fetch Historical Data Year 1
  13. Then: Fetch Historical Data Year 2
  14. Then: Fetch Historical Data Year 3
  15. Then: OpenAI GPT-4 Model
  16. Then: Statistical Forecasting Tool
  17. Then: Calculator Tool
  18. Then: Structured Forecast Output Parser

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

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