AI Chatbot Queries Cin7 ERP Data via Peliqan Text-to-SQL

End-to-end AI agent for natural language queries on Cin7 ERP data using Peliqan as a fast data cache and OpenAI for Text-to-SQL conversion.

n8n
AI Chatbot Queries Cin7 ERP Data via Peliqan Text-to-SQL

This n8n workflow powers an in-house AI chatbot that retrieves and interprets business data from Cin7 ERP (Omni or Core) in response to natural language questions. Users can inquire about products, stock levels, accounting, or any Cin7 data. Peliqan.io acts as a high-speed cache by syncing Cin7 data via one-click ELT to its built-in warehouse, enabling efficient querying without direct ERP load.

The core mechanism uses an AI Agent node with OpenAI, augmented by a Peliqan tool for Text-to-SQL. The user's query is converted to SQL, executed on Peliqan-synced Cin7 data, and results are naturally interpreted back to the user. This setup ensures accuracy, speed, and scalability for business intelligence tasks.

Benefits include time savings on manual reporting, democratized data access for non-technical teams, and reduced ERP API strain. Ideal use cases: procurement teams checking stock, sales querying product info, finance reviewing accounts—all via chat. Prerequisites: Peliqan trial and Cin7 API key; setup involves connecting sources and credentials in n8n.

Optional enhancements: Run Peliqan's template script to customize the AI's system prompt with your exact Cin7 datamodel for optimal precision.

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Last updated October 3, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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