Successfully embracing AI for customer service
How can artificial intelligence help deliver a better customer experience and how far down the path to AI has the industry travelled? What will be the impact on agents and customers?
How can artificial intelligence help deliver a better customer experience and how far down the path to AI has the industry travelled? What will be the impact on agents and customers?
In a multichannel world neglecting email for customer service risks both satisfaction and revenues. How can brands therefore successfully cope with the rising volume of email queries? We outline 4 ways to empower agents to differentiate your service.
Every industry is facing greater competition and a need to react more quickly to customer needs, often in real-time. How can marketers become more agile, particularly when it comes to understanding and acting on customer insight more rapidly?
Artificial intelligence is one of the most-talked about topics in the world today - to help executives cut through the noise Eptica’s Managing Director and CTO, Pascal Gauvrit picks three books to read if you want to improve your understanding of the subject.
The last 25 years have seen the rise of contact centers, both within organizations and in the public mind. What is the state of the industry today at a time of rising customer expectations and the growth of artificial intelligence? Based on the latest Contact Babel research, here are 5 key priorities for CX and customer service today...
Given the importance of understanding what consumers want, most brands focus heavily on listening to the Voice of the Customer (VoC). Research carried out for Eptica found that 78% of companies measure customer satisfaction, but that they struggle to get real value out of their programs. Here are 3 ways to deliver real value from Voice of the Customer insight....
Understanding the Voice of the Customer and using this insight to drive real improvements is critical to transforming the customer experience. Leading VoC platforms are embracing artificial intelligence to deliver detailed, scalable VoC analysis. How does AI help and what should you be looking for in AI-based VoC systems?
So far in this three part series covering artificial intelligence (AI) in customer experience I’ve explained the difference between bots and chatbots and some of the key concepts that you need to know about. In this third part I’ll finish my list of terms and describe how they can deliver an improved customer experience
Following last week’s blog introducing artificial intelligence (AI) and explaining the difference between bots and chatbots, in my next two posts I want to explore the types of AI and how they can be applied in customer experience. Firstly, here are four key terms that you need to know