CSV Analyst
Use Case · Support Teams

Support Ticket
Classification with AI

Upload your support export CSV and let AI tag every row with intent, sentiment, and urgency — automatically, at any scale.

CSV Analyst - Support Ticket Classification with AI

How to automate support ticket classification with ai in seconds

Customer support teams often drown in unstructured data. When exporting tickets from Zendesk, Intercom, or Jira to a CSV, analyzing the root cause of spikes in volume requires reading thousands of messages manually. CSV Analyst solves this by acting as an automated triaging agent. It reads each row in your spreadsheet and objectively assigns categories, detects customer frustration levels (sentiment), and flags urgent issues immediately. This allows support managers to discover trends, assign high-priority tickets to senior staff, and reduce churn before it happens.

What your CSV looks like after enrichment

The AI reads each row and appends the columns you need without formulas or scripts.

1. Original CSV

Ticket Message (Raw Input)
"The login page is completely broken on Safari. I can't access my account at all."
"How much does the enterprise tier cost? We need seats for a 50-person team."
"Password reset email never arrived. I've tried 3 times in the last hour."
AI Enrichment

2. Enriched CSV

Ticket Message (Raw Input) AI: Category AI: Sentiment AI: Urgency
"The login page is completely broken on Safari. I can't access my account at all."
Bug Report
Negative
Urgent
"How much does the enterprise tier cost? We need seats for a 50-person team."
Sales Inquiry
Neutral
Low
"Password reset email never arrived. I've tried 3 times in the last hour."
Auth Issue
Frustrated
High

Features and data the AI can extract

Transform thousands of rows in minutes.

Upload your CSV and let AI do the tedious row-by-row analysis. No sign-up required.

Try the live demo - free

Frequently Asked Questions about Support Ticket Classification with AI

What file formats are supported?

We support CSV, TSV, and XLSX (Excel) files. The system automatically detects encoding and headers.

Do I need to know how to code?

Not at all. You simply describe what you want to extract or categorize in plain English, and the AI handles the rest.