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AI in Call Centers: Top innovations for 2021

TechSee

Both types of RPA make contact center agents more effective by offloading repetitive tasks and giving them the space to focus on more value-added areas – namely, pleasing customers. . With many call centers adopting the remote working model, the common practice of one agent asking a question over his cubicle wall has come to an end.

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From CEO Rob McDougall: Where Have All the People Gone?

Upstream Works

At the same time, job satisfaction is at an all time low – if the numbers of people changing jobs are any measure. Rob leads the strategic vision and operations of the company with a continued focus on omnichannel innovation and a passion for exceeding partner and customer expectations.

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Four Key Considerations for Adopting AI for Debt Collection

Interactions

As a researcher, finding unique solutions to debt collection presents the opportunity to not only improve call center efficiency, but also to alleviate the emotional strain of the work, both for the customer and the agent. Simplicity : Sometimes a virtual agent is the fastest and most accurate solution to resolve the customer’s problems.

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The Art of Implementing a Chatbot within Your Call Center

NobelBiz

It is an artificial intelligence tool that can be described as a virtual agent. On the other hand and for the sake of performance, you should integrate a virtual agent within your system. This way, your agents will have more time to focus on high-value requests. Rule N° 2: Data is Everything!

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

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. 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.

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New KPI Metrics in the Era of Self Service

TechSee

Once upon a time, measuring customer service success was straightforward. Hire some agents, train them, and use standard contact center KPIs to measure how well they perform. New, more relevant self service KPI metrics that measure the success of self-service tools along with agent performance are now required.

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Four Key Considerations for Adopting AI for Debt Collection

Interactions

As a researcher, finding unique solutions to debt collection presents the opportunity to not only improve call center efficiency, but also to alleviate the emotional strain of the work, both for the customer and the agent. Simplicity : Sometimes a virtual agent is the fastest and most accurate solution to resolve the customer’s problems.