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Agent Experience (AX): The Next Frontier for Elevating the Customer Experience (CX)

CCNG

In this white paper we focus on the information made available to contact center agents. This white paper endeavors to bring together the latest research on customer pain points and agent challenges, as well as the best ways we see these pain points and challenges being successfully overĀ­ come. How can this be done?

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Visual Automation: Boost Agent Productivity with Smart Eyes

TechSee

Alternatively, customers can visually interact with AI-powered assistants in self-service mode, alleviating pressure on human agents. This in-depth white paper by TechSee explores the real-world uses of implementing vision automation technologies within the contact center. The Power of Visual Automation.

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Contact Center Customer Experience Best Practices

Callminer

As your customers demand to address less complex issues with self-service , for example, you should adopt self-service analytics using business intelligence to analyze self-service interactions via interactive voice response (IVR), self-service websites, and chatbots.

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How to Reduce Returns: 8 Tried & True Tactics

TechSee

Creating a user manual is not a big investment, and it is often a one-time activity that can be posted online for customers’ convenience and self-service. In addition, visual guidance solutions can be used to improve KPIs related to other reverse logistics activities such as: Average Handling Time.

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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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3 Takeaways from Our Live Discussion on Top Call Center Metrics [Video]

Fonolo

We can also see a low ranking for Average Handle Time ā€“ a metric that was been around since the earliest days of the call center. So if one imagines a ā€œfixed pieā€ of all customer service interactions, then the slice of that pie occupied by voice is getting smaller. What conclusions can we draw from these changes?

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Down with Spreadsheets and Erlang Formulas!

Monet Software

2 Handle Time Estimates. Average handle time (AHT) tends to exhibit less radical variation than call volumes, but AHT is no static number. A product launch, for example, can lead to longer call times, as customers rely on agents to supply information, answer questions and offer recommendations.