Remove Analytics Remove Chatbots Remove Communication Remove Self Service
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Call Deflection strategies in the age of self-service

TechSee

For that reason, successful call deflection strategies allow enquiries to be deflected to self-service channels such as FAQs, live chat, community forums, knowledge center databases and virtual agents. Let’s explore four proven methods of boosting call deflection: User-friendly self-service channels.

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Create powerful self-service experiences with Amazon Lex on Talkdesk CX Cloud contact center

AWS Machine Learning

Contact centers are using artificial intelligence (AI) and natural language processing (NLP) technologies to build a personalized customer experience and deliver effective self-service support through conversational bots. This gives us the best of both worlds, enabling WaFd to serve its clients in the best way possible.”

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How to Streamline Customer Service – 7 Actionable Strategies

Comm100

Efficient customer service requires prompt responses, whether from AI chatbots offering instant answers or live agents with quick access to customer data. By streamlining workflows, offering intuitive self-service, and automating repetitive tasks, businesses can reduce hurdles, creating a smoother journey and less frustration.

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Self-Service for Contact Center: The Definitive Guide

NobelBiz

As we will see, the main goal of a self-service system is to reduce the time the agents spend on simple, repetitive tasks or transactions such as paying a bill or getting account balance information. A functioning self-service system generally empowers clients with the tools and resources necessary for their inquiries.

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The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.

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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning

Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. Solution overview The following diagram illustrates the solution architecture.

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The shift: From customer service to customer experience

Vonage

As scores of attendees packed the impressive all-glass venue in Midtown New York a small group of thought leaders kicked it off with an early morning breakfast to discuss AI, chatbots, omni-channel, and analytics for contact centers. Imagine a canceled flight, no communication, no apology and an earliest possible flight in three days.

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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.