We have implemented gen-AI-based solutions of Automatic Summary and Automatic Quality Score with our customers and can see how much impact each of them has on cost-cutting and the efficiency of daily processes within customer service. Combining them is where we can make a big change in process management. In this article, we’ll delve into...
We have been offering conversation analytics as a means to systematise quality assessment for some time now. As each company has a standard call flow, the basics of the calls are similar and query-based solutions can be built to find calls which either do or do not adhere to the call flow or its components....
There are a variety of user personas that we have found can benefit from customer conversation analysis. There are also various titles and goals behind those personas. Today we’d like to share with you different user personas. We want to showcase how customer conversation analysis can have a wide impact for the entire company if...
Conversation analysis can provide valuable insights for companies across various time periods, ranging from real-time to historical data. Different time intervals support different use cases and can have a variety of benefits. One thing is clear – having data going back a few years will give you the most options. With the ability to analyse...
When thinking about customer service, we all know that emails are a very big part of daily conversations with customers. It seems easy for the customer to send an email and wait for a reply. Several things can make this process not as smooth as expected. If no text analysis is done and everything is...
We at Feelingstream are proud to announce that our team have successfully completed our production environment pilot with Nordea Finland. As a result, we are stepping into a long-term partnership with them. We also wrote about this last week. Our Data Scientist Mervi Sepp says that despite challenges that lied ahead, there was always a determination to...
