Remove Average Handle Time Remove Omni-Channel Remove Self Service Remove Technology
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New KPI Metrics in the Era of Self Service

TechSee

Modern contact centers are made up of a complex combination of humans and virtual assistants – using both natural and artificial intelligence – operating over multiple channels and using a wide range of tools to solve customers’ issues. Customer care center metrics in the era of self-service clearly require a different approach.

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How Many Channels Make An Omni-Channel Omelette?

Martin Hill-Wilson

Of course you might prefer the language of ‘omni-channel’ if you are keen to make the point that it must all fuse together into a seamless capability. To summarise the key points I’ve already covered in the first post : Large scale service interactions via non voice channels are still new(ish). Thanks for reading.

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3 Ways to Win the Technology Tug-of-War

CSM Magazine

In this blog, we throw the spotlight on technology and how to use it effectively, adding the human touch to digital interactions. The technology tug-of-war. Just as customer expectations reflect a stark contrast of needs and wants, there are conflicting views about how technology supports agents in the contact centre.

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7 Ways Modern Knowledge Management Helps Slash Operational Costs

eGain Blogs

According to them, knowledge management (KM) is the #1 technology that simultaneously improves operational performance, customer experience, and employee experience, and we agree. They are all focused on the customer service function but if also leveraged by other business functions, KM can help reduce costs across the entire enterprise!

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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AI Customer Service: Today’s Most Transformative Technologies

TechSee

A Tata Consultancy Services survey found that 31.7% of major companies around the world are currently using AI customer service technologies, the second most common use of AI after IT. Customer-facing AI technologies.

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How Can Payers Improve Member Experience and Efficiency at the Same Time?

Uniphore

This is especially true given the increasing competition from more technology-savvy competitors and disruptive market entrants from non-healthcare sectors such as retail. Impact: 20% reduction in agent training time. 60 second reduction in average handle time (AHT). Improved member satisfaction.