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Using Omnichannel Contact Center to Drive Customer Satisfaction

InMoment XI

Contact centers are not new by any means. As a matter of fact, the first employed call center agents date back to the 1950s. It wasn’t until the turn of the century that these call centers evolved into multichannel contact centers. The future of the contact center lies in the omnichannel contact center.

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Young Energy Improves Average Handle Time (AHT) and Motivates Contact Center Agents

NICE inContact

“We needed a more sophisticated system like NICE inContact, that could give us insights into our customers, help us make good business decisions by linking data from internal systems, and drive employee productivity.”. Working with NICE inContact has accomplished all that and more.

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Future State of the Contact Center: ChatGPT in Customer Experience

BlueOcean

Like most people in the customer care sector, we are diving deep into where ChatGPT fits, or might fit, into the contact center world. We’ve long been proponents of making transactional customer service low effort, for both customer and contact center. Data and algorithms can only do so much. So let’s get into it.

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Workforce Management (WFM) – Using Historical Data for Contact Center Forecasting

NICE inContact

A bad forecast can directly lead to under- or overstaffing, which then has cascade effects on average handle time, CSAT, labor waste… the list goes on and on! However, one critical component is the accuracy and reliability of the historical contact volume data from which your forecast is generated.

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The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.

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Workforce Management (WFM) – Using Historical Data for Contact Center Forecasting

NICE inContact

A bad forecast can directly lead to under- or overstaffing, which then has cascade effects on average handle time, CSAT, labor waste… the list goes on and on! However, one critical component is the accuracy and reliability of the historical contact volume data from which your forecast is generated.

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What is Average Handle Time (AHT)?

ViiBE Blog

On the other, each call must be handled as promptly as possible to ensure that the next caller has a short wait time. Given these opposing demands, how can a center ensure that agents handle each call as efficiently as possible? A classic call center metric to measure this is the Average Handle Time (AHT).

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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.