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Contact Center Automation: Reduce Agent Burnout and Boost Customer Satisfaction

InMoment XI

Here are the key stages of a typical automation workflow: Data Collection and Integration The first step is to collect and connect customer data from various channels. Companies leveraging omnichannel engagement retain 89% of their customers. As a result, they can resolve customer queries without requiring agent intervention.

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AI and Customer Care: The Future is Here

BlueOcean

Artificial intelligence in the contact center is one significant piece of the puzzle that is omni-channel customer service. With integration between live chat, video chat, SMS, web forums, email, social, self-serve apps, and, of course, voice, the omni-channel experience must be seamless.

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Generative AI in Contact Centers: The Tech and Use Cases Driving a Revolution in Customer Service

Calabrio

Instead, Calabrios auto quality management platform automates evaluations and QA scorecards , providing objective, data-driven insights into agent performanceacross 100% of evaluations. More Accurate Virtual Agents and IVR Elevate your self-service with intelligent virtual agents.

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9 Contact Center Quality Assurance Best Practices: Modernize Your Approach, Optimize Your Performance

Calabrio

Recording every interaction provides a complete audit trail, facilitating dispute resolution and helping ensure adherence to industry regulations. You need to see the whole, omnichannel picture: voice, chat, email, socialthe works. But in the end, a data-driven QA process is only as good as the data that drives it.

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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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DSW Successfully Incorporates AI into Customer Experience

NICE inContact

Today, DSW leads the industry it has so effectively disrupted. By combining NICE inContact with SmartAction’s AI-powered virtual agent, DSW ultimately found the right human-machine balance without compromising an ounce of CX.

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Meet Zoom Virtual Agent, the next Evolution of Solvvy

Solvvy

Zoom Virtual Agent , an intelligent conversational AI chatbot solution, uses natural language processing and machine learning to accurately understand and painlessly resolve issues for customers. Zoom Virtual Agent works 24/7 on multiple support channels to deliver fast, personalized customer experiences.