Block 1 - Sticky Note3
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Tags: Supply Chain, Logistics, AI Agents Context Hey! I’m Samir, a Supply Chain Data Scientist from Paris, and the founder of LogiGreen Consulting...
n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.googlesheets, n8n-nodes-base.gmailtrigger, n8n-nodes-base.if, n8n-nodes-base.code
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Samir Saci.
Original n8n.io sourceTags: Supply Chain, Logistics, AI Agents
Hey! I’m Samir, a Supply Chain Data Scientist from Paris, and the founder of LogiGreen Consulting.
We design tools to help companies improve their logistics processes using data analytics, AI, and automation—to reduce costs and minimize environmental impacts.
>Let’s use N8N to improve logistics operations!
📬 For business inquiries, you can add me on LinkedIn
This workflow template is designed for logistics or manufacturing operations that receive orders by email.
The example above illustrate the challenge we want to tackle using an AI Agent to parse the information and load them in a Google sheet.
If you want to understand how I built this workflow, check my detailed tutorial:
The workflow is connected to a Gmail Trigger to open all the emails that include Inbound Order in their subject.
The email is parsed by an AI Agent equipped with OpenAI's GPT to collect all the information.
The results are pulled in a Google Sheet.
These orderlines can then be transferred to warehouse teams to prepare *order receiving.
You’ll need:
Follow the sticky notes in the workflow to configure each node and start using AI to support your logistic operations.
🚀 Curious how N8N can transform your logistics operations?
📬 Let’s connect on LinkedIn
This workflow was built using N8N version 1.82.1
Submitted: March 28, 2025
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 | 🛻 AI agent for logistics order processing with GPT-4o, Gmail and Google Sheet |
|---|---|
| Complexity | intermediate |
| Nodes | 12 |
| Categories | Document Extraction, AI Summarization |
| Author | Samir Saci |
| Published | 28 Mar 2025 |
Use the JSON export at /data/workflows/3344/3344.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.
Tags: Supply Chain, Logistics, AI Agents Context Hey! I’m Samir, a Supply Chain Data Scientist from Paris, and the founder of LogiGreen Consulting...
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.