Zendesk Ticket Classification
Automatically classify and tag Zendesk tickets with AI to streamline support workflows and improve customer satisfaction.
Boost support efficiency with automated ticket classification
Automatically understand ticket intent and route smarter
Support teams spend countless hours sorting and tagging incoming requests. With Zendesk Ticket Classification, you can skip the manual effort and let AI do the work. Our app uses advanced natural language processing (NLP) and machine learning to analyze tickets in real time – automatically tagging, classifying, and routing them to the right teams.
Say goodbye to tedious categorization and hello to faster resolution times and happier customers.
Automatically classify Zendesk tickets before they’re opened
AI-powered classification: Instantly understand the content and intent of support tickets, tagging them with predefined categories such as “Billing,” “Technical Issue,” or “Returns.”
Support ticket tagging at scale: Handle large volumes of tickets without bottlenecks using automatic ticket tagging for Zendesk.
Precise ticket routing: Make sure every issue lands with the right team immediately—no more manual triage.
Zendesk ticket categories made simple: Build a classification system tailored to your workflows and terminology.
Seamless integration: Installs quickly and works natively inside your Zendesk environment.
How AI classifies your Zendesk tickets
Zendesk Ticket Classification uses machine learning to scan the content of each incoming ticket. Based on patterns, keywords, and context, the app:
Detects intent and urgency (e.g. “request refund,” “cannot log in,” “thank you”)
Tags the ticket automatically using your chosen Zendesk ticket categories
Routes the ticket to the most appropriate agent or group
This reduces delays, eliminates human error, and improves team productivity.
Key features of Ticket Classification
- Automatic ticket classification Tag tickets instantly based on topic, urgency, and sentiment.
- Custom ticket categories Use the classification labels that make sense for your business.
- Smart intent detection Identify if a ticket is a request, complaint, or feedback—before your team reads it.
- Zendesk AI intent recognition Our app plugs into your Zendesk instance to detect and act on customer intent.
- Insightful analytics Visualize trends and evaluate how your team handles different ticket types.
Transform your support experience with Zendesk AI
Real use cases
Reduce response times
A high-priority issue is tagged and routed instantly. Your team responds faster, and the customer feels heard.Optimize agent workload
Agents spend less time on sorting and more on solving complex problems.Make data-driven decisions
Track which ticket categories are growing and where automation delivers the most value.
Automate ticket classification for free – get started now!
Experience the future of customer support with Ticket Classification: Start your free 14-day trial of automatically categorizing Zendesk tickets by intent or sentiment. You will be amazed at how automatically sorting and classifying your Zendesk tickets will transform your support operations!
Questions
How does the classification work?
Our AI scans each ticket using NLP and machine learning to detect customer intent and assign the right category and tags.
Can I customize ticket categories?
Yes! You can define and adjust categories to reflect your team structure and workflows.
What if I don’t want to use third-party AI?
You can train your own model using another Knots solution to avoid sharing data externally. contact our sales team for details.
Is there support during the trial?
Absolutely. We provide onboarding help, configuration guidance, and support throughout your 14-day free trial.
Ready to automate ticket classification?
Countless other businesses improved their customer support with Ticket Classification. Our AI-powered solution is designed to speed up your processes, make your life easier and your customers happier.
Don’t wait – start your free trial today and take the first step to a more efficient and effective support team, or contact us if you have more questions.
