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Averas
AI-Powered Knowledge Base QA
INTENT

Understand Why Your Customers Are Calling

Turn raw support data into structured customer intelligence. Know what your customers need before they tell you.

The Problem

You can't fix what you don't understand. Most companies have thousands of support tickets but no systematic way to extract the patterns hiding in that data. Manual analysis is slow, subjective, and misses the subtle trends that matter most.

The Solution

Turn support data into customer intelligence. Averas uses AI to automatically categorize, theme, and rank your support tickets — revealing exactly where your knowledge base is failing your customers.

From Tickets to Intelligence in Hours, Not Months

Automated intent analysis that scales with your support volume

How It Works

1
Ingest
Connect your support ticket data (Zendesk, Freshdesk, or CSV export)
2
Analyze
AI categorizes tickets by theme, urgency, and documentation gap
3
Categorize
Structured taxonomy reveals volume-ranked customer intents

Key Capabilities

AI-Generated Themes

Automatic extraction of recurring topics and patterns from ticket data

Smart Taxonomy

Hierarchical categorization with primary and secondary classifications

Volume-Ranked Insights

See which topics drive the most tickets and need attention first

Drill-Down Analysis

Go from high-level themes to individual tickets in one click

85%
Intent Accuracy
3.2×
Faster Pattern Discovery
67%
Time Reduction

Why Averas for Intent Analysis?

Ready to Understand Your Customers Better?

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