Can you identify frustrated customers in time?

Angry and frustrated customers can have a devastating impact on your business. While positive reviews drive purchases, a single seriously negative review can turn off many potential customers. The question is, can you find them in time?

The first step in dealing with frustrated customers is to respond in a timely manner or better yet, stay one step ahead. A quick response is an important part of a good customer experience, and a smart AI model can further improve this by helping you flag frustrated or angry customers. Once the model has identified a frustrated customer, it will alert you immediately, so you can turn frustration into appreciation!

Why is the customer dissatisfied?

Labelf can help you understand why customers are dissatisfied. Does the payment solution on the site not work, is the price unclear or is the product description just bad? With Labelf, you can easily categorize areas that receive the most complaints and act on them to improve the customer experience in the long term.
Say hello to super-fast identification of frustrated customers
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What benefits will you get with Labelf? And how?

Avoid frustrated customers getting stuck in queues

Research shows that only 17% of customers recommend a brand that provides a slow response, even if it's correct and effective. Labelf's AI model will help you shorten your response time and avoid frustrated customers.

Analyze dissatisfaction

Labelf helps you understand why your customers are dissatisfied. With that knowledge, you can easily take steps to improve customer satisfaction and measure the effectiveness of your actions over time.

Improve customer satisfaction

By understanding your customers' exact needs, you get a better basis for decisions and can take relevant measures that drastically increase your customer satisfaction.

Customize to your unique needs - your data, your terms

By training your AI model on your own data, you can customize your AI model based on your specific business needs.

Handle multi-lingual queries with ease

Expand the business abroad? No problem! Simply train your AI model in one language, and it will route your customer support tickets in any language.

Make better decisions

Optimize your decision-making processes with smart data. Labelf can analyze your customers' wishes in a large amount of data faster than any trained eye.

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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!

"The implemented solution ended up saving several minutes per nonconformity allowing the auditors to focus more on interacting with the customer during each audit."

Karin Claesson
Systems Specialist, Qvalify

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What is AI based analysis of frustrated customers?

An unavoidable part of selling to customers is dissatisfaction and complaints. It is important to handle these as quickly and efficiently as possible. When customers are dissatisfied with their experiences with the company, they often tell those around them about it. Also online. DSAT is an abbreviation for Customer Dissatisfaction. It is usually used as a percentage of customers who are dissatisfied and the metric is actually the opposite of the CSAT score (or customer satisfaction score). A smart AI model can help you flag frustrated, angry or dissatisfied customers and thereby create an automatic pipeline for your DSAT analysis. Your model will learn from new cases over time. It will know how your customers usually react to thereby find deviations that point to anger or frustration.
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