AI Support Ticket Triage with n8n and OpenAI

A global e-commerce organization with more than 5,000 employees handles over 10,000 support tickets a day. We built a workflow on n8n that uses OpenAI to triage incoming emails before a person sees them.

Industry: E-commerce customer support

Challenge

Triaging a high volume of tickets by hand was slow and inconsistent.
Urgent or negative messages could go unnoticed.
Misrouted tickets caused delays and hurt satisfaction.
Customers received no confirmation, and support teams lacked an audit trail.

Solution

An email trigger fetches unread messages, and the workflow extracts the subject and body.
GPT-4 assesses sentiment and urgency, and high-priority or negative messages are escalated to an internal channel.
Classification logic labels each message by topic, such as billing, technical or shipping, and routes it to the right department.
The system sends an acknowledgment email based on sentiment and topic.
Every ticket action is logged and synced with the CRM and audit systems through webhooks and communication nodes.

Results

Outcomes stated for this project: triage and first-response performance improved by 60%.
Classification and sentiment analysis precision above 90%.
First-line agent workload reduced by 25%.
Complete visibility of ticket actions through logging.

Technologies

n8nOpenAI (GPT-4)

AI Support Ticket Triage with n8n and OpenAI

Challenge

Solution

Results

Technologies

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