Process Customer Inquiries with AI Agent and Database Storage
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Workflow Description
Automate receiving customer inquiries through chat and process them using an intelligent AI agent powered by OpenAI, then automatically save relevant data to a Postgres database for easy review and analysis.
How it works
- 1.Receive customer inquiry via chat interface trigger
- 2.Route inquiry to AI agent powered by OpenAI for intelligent processing
- 3.Store response and relevant data in Postgres database automatically
Use cases
- Handle frequently asked customer questions and provide instant responses
- Archive conversations and inquiries in database for later review
- Analyze inquiry patterns to improve customer service quality
Requirements
- Valid OpenAI API key with appropriate permissions
- Postgres database connection credentials and access rights
- Chat interface configured to receive incoming messages
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (6)
Sticky Note3
Sticky Note
Sticky Note5
Sticky Note
Sticky Note6
Sticky Note
Sticky Note7
Sticky Note
When chat message received
Chat Trigger
OpenAI Chat Model
OpenAI
DB Schema
Postgres Tool
Get table definition
Postgres Tool
Sticky Note
Sticky Note
AI Agent
Agent
Run SQL Query
Postgres Tool
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