Remove Average Handle Time Remove Net Promoter Score Remove Self Service Remove Virtual Agent
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New KPI Metrics in the Era of Self Service

TechSee

Modern contact centers are made up of a complex combination of humans and virtual assistants – using both natural and artificial intelligence – operating over multiple channels and using a wide range of tools to solve customers’ issues. Customer care center metrics in the era of self-service clearly require a different approach.

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Boost Growth and Lower Costs with AI and Cloud Contact Center Solutions

NICE inContact

This was critical to delivering immersive customer experiences, which increase loyalty and improve metrics such as Net Promoter Score® (NPS®) and customer satisfaction (CSAT). Use Next-Gen AI Reduce Handle Time and Service Cost. Decreased average handle time by 10 percent.

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Who benefits from an AI-powered knowledge base?

Talkdesk

An increasing number of customers prefer to use self-service channels to get their questions answered, and they want that information delivered in a truly personalized way. Knowledge Base Administrators. Knowledge base admins realize the same benefits from an AI-powered solution.

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Contact Center AI: How It Can Transform Your CX

Playvox

As NLP, ML, and conversational AI evolved, modern contact centers embrace AI-powered chatbots, virtual agents or assistants, voice recognition, and other tools to deliver self-service options to customers. This improves customer satisfaction and net promoter scores, and other key customer service metrics.

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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.