Free up time with AI-automated ticket classification and tagging

Accurate and detailed tagging of incoming support tickets is a powerful tool for any team looking to reduce ticket volumes, improve customer satisfaction and optimize their processes. Sadly, it's also incredibly time-consuming... It's too easy to get caught in the rat race and prioritize the volumes of cases that currently have to be handled manually, but which could actually be handled automatically if they were only tagged.

Save time and work smarter

With Labelf, you can train and implement fast AI models that automatically classify your incoming support tickets into several levels. Work smarter and more structured without having to manually categorize tickets or burden your customers with forms.
Say hello to smart classification and tagging with AI
Get results in 20 minutes

What benefits will you get with Labelf? And how?

Structure the workflow

Having all incoming support tickets automatically categorized or tagged adds a whole new level of structure to your workflow. See directly which types of tickets are hiding in the backlog and plan the work based on this.

Sharpen the work efforts

With Labelf's AI models, you no longer need to blindly assign cases to the support staff. Instead, they can focus on cases that they have the expertise to solve.

Reduce the handling time

Manually categorizing all your tickets is a hugely time-consuming task. Companies that use automatic ticket tagging with Labelf reduce their response time by as much as 20%.

Increase the customer insight

With custom AI models, you can categorize all your incoming and historical tickets instantly. This provides a whole new level of understanding of the types of issues and questions your customers have.

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

By automating the manual work of classifying data, you can focus on the interpretation of data and understanding of your customers' needs.

Trusted by

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“Labelf AI Team is fantastic! They are REALLY REALLY helpful and patient in setting up the AI platform to match our needs. Huge shoutout to Ted and Per, the ever so knowledgeable and friendly duos that make everything seems like a breeze. Highly recommended for others who need AI assistance in categorizing tickets!”

WK Yong
Customer Support Manager, Tada

Easy to use, easier to start

Step 1

Connect with your platform

Seamlessly integrate Labelf with your customer support systems.
Step 2

Create and train your model

Labelf AI model can learn from your existing labeled data, or you can start training while customizing the model to your needs.
Step 3

Activate your model

Start using the AI model and enjoy the intelligence and convenience!

Waited long enough to create your own AI model?

Implement automatic identification of frustrated customers and take your customer insights to the next level.
Sign up for a free trial or contact us to learn more.

We are where you are

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What is automatic ticket classification?

Classifying and tagging tickets is extremely important in any form of customer support because it provides a detailed picture of why customers are contacting you. This is where you'll see what can be done to permanently solve problems that recur regularly, find areas that your support team struggles with and need more training in, or where it would rather be wise to prioritize the creation of self-service services that allow your customers to help themselves.
However, a common problem with classification is that it is time-consuming for both the support staff and the customer to have to categorize each ticket. Therefore, the categorization that takes place manually is often unreliable and lacking in scope.

Recent developments in machine learning and AI easily solve this challenge. With automatic ticket tagging, AI does the work for you. This means that all tickets are categorized in a consistent manner immediately when they arrive.

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Get in touch and let us know how we can help.

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