EdgeTier Secures Betsson Group as new customer to power AI-driven customer insight and service optimisation
We’re excited to announce that Betsson Group is now live with EdgeTier across its European and Latin American support operations.
Blog Articles
EdgeTier Conversation Intelligence Library
Learn more about EdgeTier products, customer service best practices, and discovery how customer service automation and AI can give your contact centre the competitive edge.
- Read more
- Read more
Now Detecting Empathy: Sentiment Analysis for Customer Support That Captures the Human Side
In customer support, technical accuracy and quick resolution will always matter. But what makes the real difference—what your customers actually
- Read more
Spotlight What Matters Most in Your Customer Conversations
Spotlight Summaries are here to shine a light on key trends in your conversations. This new feature analyses multiple interactions
- Read more
Fixing Confusion: Elevating emotion detection for smarter customer support
We’ve just added confusion detection to our emotion analysis tools. Now, you can easily spot when customers are confused, allowing
- Read more
What’s New at EdgeTier: Anomaly detection summaries & agent QA wrapped for 2024
Discover how EdgeTier’s latest AI-powered updates can optimise your contact centre, including anomaly detection summaries, agent QA, and custom charts.
- Read more
What is Good Customer Service?
We all know that good customer service is important, but what does good customer service actually mean? In this post
- Read more
Where and Why to apply AI in your contact centre
The world of Artificial Intelligence is broad and complex, and definitely difficult to penetrate for the uninitiated. The most commonly
- Read more
Using AI to Label Contact Centre Contacts and Surveys
Text classification techniques can be used by contact centres to enhance reporting, improve auto responses, and reduce agent handling times.
- Read more
Analyse Customer Sentiment on Zendesk Ticket Comments
Customer sentiment analysis involves discovering customer attitudes towards products and brands. We are going to perform sentiment analysis on comments
