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This Call May Be Recorded: How Conversation Intelligence Is Transforming the Contact Center Industry

BlueOcean

Customer care QA processes are moving from limited sampling to real-time, holistic analysis thanks to emerging conversation intelligence technologies that impact every corner of the contact center for the better. The rate at which contact center technology has evolved accelerated during the pandemic years.

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Validating Your Outsourced Customer Care Partnership: Is Your Incumbent “Still the One”?

BlueOcean

Great companies are regularly assessing the ongoing value of their partnerships – but how do you measure the true value your contact center outsourcer is delivering? Are you still in regular contact with your partner’s leadership team and do you still trust them to deliver excellence for your customers?

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Bilingual Customer Support: Where Live Agents and AI Coincide

BlueOcean

The Impact of Bilingual Support on the Customer Experience When a bilingual solution is offered to the customer, companies quickly find that quality scores increase accordingly. The same is true for first call resolution and average handle times. It’s our thing. So, of course, we’re biased.

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How to Measure Success in the Contact Center

Interactions

Companies have adopted new technologies in their contact centers to support a more customer-first approach. Contact centers, before this change in focus to customer experience, had a straightforward goal: to handle as many calls as possible, as quickly as possible. Traditional Contact Center KPIs.

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How to Improve Contact Center Optimization with Customer Journeys

Pointillist

According to Forbes, poor customer service is costing businesses more than $75 billion a year. The pressure to reduce contact center costs is immense. But many contact center leaders struggle to achieve these outcomes while simultaneously improving customer satisfaction.

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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. Customer care center metrics in the era of self-service clearly require a different approach.

Metrics 146
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AI Customer Service: Today’s Most Transformative Technologies

TechSee

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 are especially relevant to assisting in customer identification, call classification/routing, chatbots and predictive personalization. Customer Identification.