Tags: Sustainability, Supply Chain, AI Agent, CO2 Emissions, Carbon Interface API, Logistics, Automation
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
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.
This workflow automates the process of tracking CO₂ emissions for scheduled shipments:
You’ll need:
🗒️ Use the sticky notes in the n8n canvas to:
This template was built using n8n v1.93.0
Submitted: June 7, 2025