AI Customer Support Ticket Analysis Automation

What it does:

Built an automated customer support system that collects customer complaints, categorizes them, and uses AI to analyze customer sentiment. The goal is to reduce manual ticket processing and help support teams identify customers who need attention, this can save hours each week for every customer support worker.

How I built it:

Lovable: Created the customer support website.
Tally: Built the customer support submission form.
n8n: Connected the different tools and automated the workflow.
OpenAI: Generates ticket subjects, categorizes requests, and analyzes sentiment, strength, and confidence.
Airtable: Stores customer tickets and their analysis results.

What I learned:

I learned how to automate an actual workflow that takes up businesses time with n8n, it allowed me to connect all these apps so they all work together and I also learned some new nodes in n8n to help examine information.

Demo:

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AI Customer Support Ticket Analysis Automation