In this article, we’re looking at agent assist approaches for customer care centres. Agent assist has become increasingly popular as a method to improve agent performance while maintaining or even improving customer service. The popularity has increased as systems have become more flexible and open with data APIs, and the accuracy of AI systems has …
Five Agent Assist applications for contact centres Read More »
Text classification techniques can be used by contact centres to enhance reporting, improve auto responses, and reduce agent handling times. In this post we look at how text classification works and what the best use of text classification techniques is in the customer contact centre.
Customer sentiment analysis involves discovering customer attitudes towards products and brands. We are going to perform sentiment analysis on comments from tickets in Zendesk using Python, Zenpy, and TextBlob.
In this blog post we will look specifically at retail and how the UK retail industry compares with both its competition and the overall industry average. We will also outline industry benchmarks and suggestions on what it takes to provide best-in-class customer support.
Stress has always been seen as commonplace in the customer service sector with smallbizgenius.net stating that 83% of US workers suffer from work-related stress. Dealing with customers on a daily basis can take a toll on a support agent at one stage or another in their career. Regardless of which support channel the customer is …
Agent Stress: Identification and Management in Contact Centres Read More »
