Track Singapore COE prices with AI forecasting & smart buy recommendations via Telegram
Workflow preview
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Important notice
This workflow is provided as-is. Please review and test before using in production.
Overview
Introduction
Automates Singapore COE price tracking with AI forecasts and buy/wait recommendations. Weekly scraping collects LTA data, enriches with economic indicators, predicts 6-month trends, and alerts users via Telegram/email—helping car buyers and fleet managers make data-driven purchase decisions while avoiding manual tracking.
How it Works
Weekly trigger scrapes LTA COE → validates → stores in Google Sheets → calculates indicators → AI forecasts trends → multi-scenario analysis → generates buy/wait signals → sends actionable alerts.
Setup Steps
- Add OpenAI/NVIDIA API credentials in n8n
- Authenticate Google Sheets and create spreadsheet
- Configure Telegram bot or Gmail SMTP
- Set weekly trigger (Thursday 9AM SGT post-bidding)
- Adjust alert thresholds in conditional nodes
Workflow
Schedule Trigger → Scrape COE → Validate → Store Sheets → Fetch Historical → Calculate Indicators → AI Prediction → Merge Economics → Multi-Scenario Analysis → Compare Conditions → Generate Dashboard → Send Alerts
Workflow Steps
- Scraping: Fetch LTA COE results with retry logic
- Validation: Check completeness, flag anomalies
- Storage: Append timestamped records to Sheets
- Enrichment: Calculate moving averages, volatility, seasonality
- AI Analysis: Forecast next 6 months with confidence intervals
- Decision Engine: Output buy/wait/monitor recommendation
- Reporting: Create dashboard and send alerts via Telegram/email
Prerequisites
OpenAI/NVIDIA API key, Google Sheets access, Telegram bot token or Gmail, basic COE category understanding
Use Cases
First-time buyers timing purchases, fleet operators coordinating bulk acquisitions
Customization
Add SMS alerts via Twilio, integrate loan calculators for total cost analysis
Benefits
Saves 5+ hours monthly, captures 10–18% price dips, provides predictive insights (potential $10K–$25K savings)