Customers are often unhappy or upset, but it does not manifest itself in words. An ordinary emotion recognition systems based on text will not see the emotion.
How many such situations occur in a day? And for a month or a year? As a result, you get a report that does not display real and reliable information.
Emotion analysis based on intonation in the voice
Special ticket selected by the robot comes to your messenger. Main issue is highlighted with a transcript of the conversation and a marked emotion. The ticket can be forwarded to the responsible employee
Configure notifications of incidents to resolve them at the right moment.
Connect via telegram to employee conversations and evaluate how each employee communicates with your customers.
Respond to incidents immediately
Allows you to keep the client from moving to a competitor
Notifies about employees errors
Allows you to evaluate the ability of employees to resolve conflicts
Recognizes customer emotions
Reduces call center costs
Determines the true reasons for appeals
Finds missed sales and warm leads in the call database
Transcribes phone calls to text
More efficient than the quality control department
How it works
Identify the causes of negativity and reduce the risk of losing a client.