🗼 AI powered supply chain control tower with BigQuery and GPT-4o
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 8 nodes and runs when another workflow calls it (plus 1 other trigger). Along the way it connects OpenAI Chat Model and Google BigQuery.
How it runs
Trigger: When another workflow calls it (plus 1 other trigger).
- Sanitising the Query (Code): runs custom JavaScript code
- AI Control Tower Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 1 tool (Call Query Tool); memory: Chat Memory
- Query Database (Google BigQuery): uses Google BigQuery
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Control Tower Agent (v1.8): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Control Tower Agent (v1.8) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (8)
- OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent - Call n8n Workflow Tool
@n8n/n8n-nodes-langchain.toolWorkflow - Google BigQuery
n8n-nodes-base.googleBigQuery - Execute Workflow Trigger
n8n-nodes-base.executeWorkflowTrigger - Code
n8n-nodes-base.code - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger
From the author
Tags: Supply Chain, Logistics, Control Tower Context Hey! I’m Samir, a Supply Chain Engineer and Data Scientist from Paris, and the founder of LogiGreen Consulting. We design tools to help companies improve their logistics processes using data analytics, AI,…