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Using Omnichannel Contact Center to Drive Customer Satisfaction

InMoment XI

In an omnichannel contact center, customers can interact with a business through channels such as phone calls, emails, chat, social media, and more. What distinguishes it from multichannel systems is the integration of these channels, allowing customers to switch between them without losing the context of their interactions.

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The Essential Chatbot Success Metrics

Comm100

When tracked over time, this metric also allows organizations to understand how AI chatbots are developing. Average Handle Time (AHT). Average Handle Time is a measure of the duration chatbots spend in each interaction. Number of Interactions Per User. Customer Satisfaction Rate (CSAT).

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Optimizing AHT During a Visual Engagement Session

TechSee

Introducing a new technology like visual assistance into a service interaction requires a moment for each party to adjust, but that moment will result in improved context and clarity. Visual support is the best tool in your toolbox, so use it early in the interaction. This increases AHT and reduces customer satisfaction.

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Bilingual Customer Support: Where Live Agents and AI Coincide

BlueOcean

The same is true for first call resolution and average handle times. We believe that everything from the quality of the interaction to factors like handle time and first resolution are positively impacted by an onshore Canadian solution. But what mix of live agents versus AI is best for your business?

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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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The Ultimate Cheatsheet for Customer Service Bots

Kustomer

Containment rate, or its alternative name, “deflection rate,” is the percentage of total conversations fully handled by a chatbot, and is a key metric to track when trying to figure out how well your chatbot is performing. For example, will the average handle time increase now that agents are only handling more complex inquiries?

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Coaching — Medicine for the Contact Center

NICE inContact

The contact center may have a great quality management program that provides agents evaluations on their interactions as well as a stellar performance management platform that gives agents real-time insights into how they are performing against specific goals and metrics. Constantly Ask Yourself “Why” and “How”.

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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.