Block 1 - π Weekly Health Check
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
Smart Supplier Health Monitor with ScrapeGraphAI Risk Detection and Multi Channel Alerts Target Audience Procurement managers and directors Supply chain risk analysts CFOs and financial controll...
n8n-nodes-base.scheduletrigger, n8n-nodes-base.stickynote, n8n-nodes-base.code, n8n-nodes-base.if, n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.gmail
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by vinci-king-01.
Original n8n.io sourceManual supplier monitoring is reactive and time-consuming, often missing early warning signs of financial distress that could disrupt your supply chain. This template solves the challenge of proactive supplier health surveillance by automatically monitoring financial indicators, news sentiment, and market conditions to predict supplier risks before they impact your business operations.
This workflow automatically monitors your critical suppliers' financial health using AI-powered web scraping, analyzes multiple risk factors, identifies alternative suppliers when needed, and sends intelligent alerts through multiple channels to ensure your procurement team can act quickly on emerging risks.
The template performs comprehensive financial health analysis with the following parameters:
| Risk Factor | Weight | Score Impact | Description |
|---|---|---|---|
| Financial Issues | 40% | +0-24 points | Revenue decline, debt levels, cash flow problems |
| Operational Risks | 30% | +0-18 points | Management changes, restructuring, capacity issues |
| Market Risks | 20% | +0-12 points | Industry disruption, regulatory changes, competition |
| Reputational Risks | 10% | +0-6 points | Negative news, legal issues, public sentiment |
Industry Risk Multipliers:
Risk Levels & Actions:
| Feature | Critical Suppliers | High Priority | Medium Priority |
|---|---|---|---|
| Monitoring Frequency | Weekly | Bi-weekly | Monthly |
| Risk Threshold | 35+ points | 40+ points | 50+ points |
| Alert Recipients | C-Level + Directors | Directors + Managers | Managers only |
| Alternative Suppliers | 3+ pre-qualified | 2+ identified | 1+ researched |
| Transition Timeline | 24-48 hours | 1-2 weeks | 1-3 months |
Estimated setup time: 25-30 minutes
Common Issues:
Monitoring Best Practices:
Support Resources:
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Monitor supplier financial health with ScrapeGraphAI & multi-channel risk alerts |
|---|---|
| Complexity | advanced |
| Nodes | 18 |
| Categories | Document Extraction, AI Summarization |
| Author | vinci-king-01 |
| Published | 07 Aug 2025 |
Use the JSON export at /data/workflows/7129/7129.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Smart Supplier Health Monitor with ScrapeGraphAI Risk Detection and Multi Channel Alerts Target Audience Procurement managers and directors Supply chain risk analysts CFOs and financial controll...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.