Automate Singapore COE price analysis & purchase timing with GLM-4.5 AI predictions

Name: Automate Singapore COE price analysis & purchase timing with GLM-4.5 AI predictions
Availability: InStock
Author: Cheng Siong Chin

Automate Singapore COE price analysis & purchase timing with GLM-4.5 AI predictions 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, predicts trends using AI, and recommends optimal car purchase timing. Scrapes LTA data biweekly, analyzes historical trends, forecasts next 6 bidding rounds, and sends alerts when buying windows appear—saving time and identifying cost-saving opportunities.

How it Works

Biweekly trigger scrapes LTA COE data → processes historical trends → AI predicts 6-month prices → compares current vs forecast → generates buy/wait recommendations → alerts sent via Gmail or Telegram.

Setup Steps

Add NVIDIA/OpenAI API credentials in n8n
Connect Google Sheets for data storage
Authenticate Gmail/Telegram for notifications
Schedule trigger for Wednesdays 8PM SGT
Configure alert thresholds in conditional nodes

Workflow

Schedule Trigger → HTTP Request (Scrape LTA) → Data Processing → Google Sheets (Store) → AI Prediction → Analysis Engine → Conditional Logic → Gmail/Telegram Notification

Workflow Steps

Scraping: Extract COE prices from OneMotoring
Processing: Calculate moving averages, volatility, seasonal trends
Storage: Save to Google Sheets with timestamps
Prediction: AI forecasts next 6 bidding rounds
Analysis: Compare current vs predicted prices, generate recommendation
Notification: Alerts via email/Telegram

Prerequisites

NVIDIA/OpenAI API key, Google account (Sheets), Gmail/Telegram for notifications, basic COE category knowledge

Use Cases

First-time buyers monitoring price dips, fleet managers timing bulk purchases

Customization

Add economic indicators, integrate car loan calculators, track parallel imported car prices

Benefits

Saves hours of manual monitoring, captures 10–15% price dips, provides data-driven purchase timing (potential $5K–$15K savings)

Cheng Siong Chin

193 workflows

Nodes

n8n-nodes-base.scheduletrigger n8n-nodes-base.httprequest n8n-nodes-base.code n8n-nodes-base.googlesheets n8n-nodes-base.set @n8n/n8n-nodes-langchain.agent n8n-nodes-base.emailsend n8n-nodes-base.if

Complexity

advanced

Published 08 Nov 2025

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Install path: /data/workflows/10624/10624.json

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Automate Singapore COE price analysis & purchase timing with GLM-4.5 AI predictions

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Important notice

Overview

Introduction

How it Works

Setup Steps

Workflow

Workflow Steps

Prerequisites

Use Cases

Customization

Benefits