Block 1 - Schedule Supply Chain Data Collection
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.3
How It Works This workflow automates end to end supply chain visibility and logistics coordination for manufacturers, distributors, and retailers managing complex multi tier supply networks. Design...
n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.switch
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.
Original n8n.io sourceThis workflow automates end-to-end supply chain visibility and logistics coordination for manufacturers, distributors, and retailers managing complex multi-tier supply networks. Designed for supply chain planners, logistics managers, and operations directors, it solves the challenge of tracking inventory across procurement, warehousing, and transportation while optimizing decisions for cost, speed, and risk mitigation. The system schedules regular data collection from procurement and warehouse/transportation systems, consolidates supply chain data, analyzes patterns through dual AI agents (Signal Monitoring identifies anomalies and trends, Coordination Agent orchestrates optimization decisions), routes findings by risk level (critical/marginal/acceptable), triggers action-specific responses (critical issues send Slack alerts, escalation emails, and compliance audit logs with approval workflows; acceptable conditions generate standard reports), and maintains complete traceability. Organizations achieve 50% reduction in stockouts, optimize logistics costs by 30%, enable proactive disruption management, and maintain real-time visibility across global supply networks.
Supply chain system API access (ERP, WMS, TMS), AI service accounts.
Inventory optimization across multi-tier networks, predictive stockout prevention
Modify agent prompts for industry-specific constraints (perishable goods, hazmat regulations)
Reduces stockouts by 50% and optimizes logistics costs by 30%
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.
Showing the first 24 of 28 workflow blocks. Download the JSON for the full node graph.
| Workflow | Monitor supply chain risks and disruptions with GPT-4o and Slack alerts |
|---|---|
| Complexity | advanced |
| Nodes | 28 |
| Categories | Engineering, AI Summarization |
| Author | Cheng Siong Chin |
| Published | 12 Feb 2026 |
Use the JSON export at /data/workflows/13337/13337.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.
How It Works This workflow automates end to end supply chain visibility and logistics coordination for manufacturers, distributors, and retailers managing complex multi tier supply networks. Design...
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 Engineering, AI Summarization use case.