C
AgentKick
Back to case studies
Pro SprintE-commerce·6 business days

AI-Powered Support Ticket Triage

Online retailer, 80 employees

2hrs → 0
Triage time
Fully automated, no manual sorting needed
60% faster
Response time
Auto-drafts handle common questions instantly
<2 min
Urgent detection
Critical issues flagged in Slack within seconds

The Challenge

The support team received 200+ tickets daily across email and their help desk. A senior agent spent 2 hours each morning manually reading, classifying, and routing tickets to the right team. Urgent issues often sat undetected for hours.

The Solution

We built a classification pipeline that reads incoming tickets in real-time, categorizes them by type (billing, shipping, technical, returns), assesses urgency, auto-routes to the correct team, and drafts initial responses for common issues.

How We Built It

  • 1Webhook integration with help desk system for real-time ticket ingestion
  • 2AI classifier trained on their ticket categories with 95%+ accuracy
  • 3Urgency scoring: critical issues flagged immediately via Slack to on-call
  • 4Draft response generation for top 10 common ticket types
  • 5Dashboard showing classification metrics and response times

Tech Stack

Zendesk APISlackClaude AIPostgreSQL

"We went from missing urgent tickets for hours to catching them in under 2 minutes. The auto-drafts handle 40% of our volume without any human touch."

Head of Support · E-commerce Company

Want similar results?

Tell us about your workflow and we'll get back to you within 24 hours.

Start Your Project