Respond to tickets faster
Make sure that every incoming ticket is directly placed in the correct support view or queue. Get the correct agent to attend to it directly and prioritize urgent tickets with ease.
Decrease escalations and total ticket volume
Getting faster ticket responses and resolution reduces the risk that a customer will escalate the situation. This also avoids multiple tickets being sent about the same inquiry.
Improve Customer Satisfaction
The effect of working with AI models in customer support is visible for the end customer by the improved speed and correctness in ticket responses. This is a huge driver of CSAT scores.
Automate your workflow
Certain tickets are well suited for automation. Labelf allows you to automatically identify these and trigger the appropriate automation. This allows you to handle simple queries around the clock and lower the amount of repetitive work for your support agents.
Handle multiple languages with ease
Expand the business abroad? No problem! Train your AI model in one language, and it will handle all your tickets regardless of language.
Spend time where it matters
Automatic analysis and categorisation of tickets with AI helps you to act more efficient and thereby improve important KPIs such as first response time (FRT), average resolution time (ART) and to decrease your backlog.