AI Supply Chain Control Tower with BigQuery & GPT-4o
AI agent for supply chain monitoring: queries BigQuery via natural language using GPT-4o to generate SQL and deliver plain English insights on shipments.
This n8n workflow creates an intelligent Supply Chain Control Tower that connects to Google BigQuery for real-time monitoring of outbound orders and customer deliveries. Users interact via chat, asking questions in plain English about shipments, logistics performance, or distribution chains. The AI, powered by GPT-4o, interprets the query, generates precise SQL code, executes it on BigQuery, and responds with actionable insights, supporting follow-up questions through chat memory.
Ideal for logistics teams in Transportation Management Systems (TMS), it eliminates manual querying, enabling rapid analysis of delays, costs, routes, and environmental impact. Benefits include cost reduction, faster decision-making, and sustainability improvements by optimizing distribution processes without coding expertise.
Setup requires a Google BigQuery table with shipment data. No advanced skills needed—just connect your credentials. Authored by Samir Saci of LogiGreen Consulting, it's tailored for companies seeking data-driven, AI-enhanced supply chain automation.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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