AI Multi-Stop Planner for Circular Logistics with GPT-4o & OpenRoute

This n8n workflow streamlines logistics for circular economy projects by processing pickup requests for reusable packaging like bins and crates. It starts with a Gmail trigger that detects incoming collection requests from stores. Two AI Agent nodes powered by GPT-4o parse the unstructured email content into structured data, extracting key details such as store IDs, addresses, and pickup dates.

Each identified stop is then geocoded to precise GPS coordinates. The workflow integrates with the OpenRouteService API's multi-stop optimization endpoint to calculate the most efficient driving sequence, minimizing time and fuel. Results include detailed route plans with driving times and optimal stop order, delivered back via email or other channels.

Benefits include reduced manual planning errors, significant time savings for logistics teams, lower operational costs through optimized routes, and support for sustainable practices in circular supply chains. Ideal for transportation companies handling returns to central warehouses, it scales for daily operations and integrates seamlessly with existing n8n setups.

Use cases: Reverse logistics for retail chains returning packaging, waste collection services, or any multi-stop pickup scenario requiring AI-driven automation and real-time route optimization.