Automated CO2 Emissions Tracking for Freight Shipments

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This workflow provides an automated solution for tracking and estimating the carbon footprint of freight shipments using email parsing, AI analysis, and API integration. Triggered by incoming emails in Gmail, it extracts structured shipment data with GPT-4, calculates emissions via the Carbon Interface API, and logs results in Google Sheets. The process ensures efficient and accurate environmental impact monitoring for logistics businesses. Ideal for supply chain sustainability efforts, this workflow helps companies track emissions, optimize routes, and promote eco-friendly shipping practices.

Node Count

6 – 10 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, gmailTrigger, googleSheets, httpRequest, stickyNote

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