🚚 CO2 emissions of freight shipments with Carbon Interface API and GPT-4o

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Tags : Sustainability, Supply Chain, AI Agent, CO2 Emissions, Carbon Interface API, Logistics, Automation Context Hi! I’m Samir — a Supply Chain Engineer and Data Scientist...

Best for

Document Extraction automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.gmailtrigger, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.httprequest, n8n-nodes-base.googlesheets, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Samir Saci.

Original n8n.io source

1.1 Workflow description

Title: 🚚 CO2 emissions of freight shipments with Carbon Interface API and GPT-4o
Workflow name: 🚚 CO2 emissions of freight shipments with Carbon Interface API and GPT-4o

Tags: Sustainability, Supply Chain, AI Agent, CO2 Emissions, Carbon Interface API, Logistics, Automation

Context

Hi! I’m Samir — a Supply Chain Engineer and Data Scientist based in Paris, and founder of LogiGreen Consulting.

I help logistics teams reduce their environmental footprint by combining AI automation and carbon estimation APIs.

This workflow is part of our green logistics initiative, allowing businesses to track the CO₂ emissions of last-mile or regional shipments.

> Automate carbon tracking for shipping operations with n8n!

📬 For business inquiries, feel free to connect with me on LinkedIn

Who is this template for?

This workflow is designed for logistics coordinators, transportation planners, or sustainability officers who want to estimate and record emissions for B2B shipments.

Let’s imagine your carrier sends a shipment confirmation email after a pickup is scheduled:

An AI Agent reads the email and extracts structured data: addresses, distance, cargo weight, and delivery time.

The Carbon Interface API is then called to calculate CO₂ emissions based on weight and distance, and the results are stored in a Google Sheet.

How does it work?

This workflow automates the process of tracking CO₂ emissions for scheduled shipments:

📨 Gmail Trigger captures shipment confirmation emails
🧠 AI Agent parses the shipment info (pickup, delivery, weight, distance)
🚚 Carbon Interface API estimates CO₂ emissions
📊 Google Sheets is used to store shipment metadata and carbon results

Steps:

💌 Trigger on new shipment confirmation email
🧠 Extract structured shipment info with AI Agent
📋 Store metadata in Google Sheets
⚙️ Call Carbon Interface API with weight and distance
📥 Append estimated CO₂ emissions to the shipment row

What do I need to get started?

You’ll need:

A Gmail account to receive shipment confirmation emails
A Google Sheet to track shipment data and CO₂
A free Carbon Interface API key
OpenAI access for using the AI Agent parser
A few sample emails from your logistics provider to test

📺 Learn More with n8n Tutorials

Get hands-on experience with automation through my comprehensive n8n tutorial playlist, featuring 18+ complete, step-by-step videos and ready-to-use templates.

Next Steps

🗒️ Use the sticky notes in the n8n canvas to:

Add your Gmail and Carbon Interface credentials
Try with a sample shipment confirmation email
Check your Google Sheet to verify emissions and timestamps

This template was built using n8n v1.93.0
Submitted: June 7, 2025

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Gmail Trigger

Type / Role: n8n-nodes-base.gmailTrigger - gmailTrigger
Config choices: Version 1.2

Block 2 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 3 - AI Agent Parser

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.9

Block 4 - OpenAI Chat Model2

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 5 - Collect CO2 Emissions

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 6 - Load Results

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 7 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Record Shipment Information

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

3. Summary Table

Workflow	🚚 CO2 emissions of freight shipments with Carbon Interface API and GPT-4o
Complexity	intermediate
Nodes	10
Categories	Document Extraction, AI Summarization
Author	Samir Saci
Published	07 Jun 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/4757/4757.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Download workflow JSON Original n8n.io source Document Extraction workflows AI Summarization workflows

Frequently asked questions

What does 🚚 CO2 emissions of freight shipments with Carbon Interface API and GPT-4o do?

Tags : Sustainability, Supply Chain, AI Agent, CO2 Emissions, Carbon Interface API, Logistics, Automation Context Hi! I’m Samir — a Supply Chain Engineer and Data Scientist...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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.

Samir Saci

31 workflows

Nodes

n8n-nodes-base.gmailtrigger @n8n/n8n-nodes-langchain.outputparserstructured @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.httprequest n8n-nodes-base.googlesheets n8n-nodes-base.stickynote

Complexity

intermediate

Published 07 Jun 2025

Likes 0

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Install path: /data/workflows/4757/4757.json

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🚚 CO2 emissions of freight shipments with Carbon Interface API and GPT-4o

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Context

Who is this template for?

How does it work?

Steps:

What do I need to get started?

📺 Learn More with n8n Tutorials

Next Steps

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Gmail Trigger

Block 2 - Structured Output Parser

Block 3 - AI Agent Parser

Block 4 - OpenAI Chat Model2

Block 5 - Collect CO2 Emissions

Block 6 - Load Results

Block 7 - Sticky Note1

Block 8 - Sticky Note2

Block 9 - Sticky Note

Block 10 - Record Shipment Information

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions