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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. Consider this scenario: James is having trouble programming his smart sprinkler system. Now that’s true success!

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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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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 Importance of Self-Service Customer Experience in Contact Centers

NobelBiz

Nowadays, with the advent of technology, customers have multiple channels to interact with businesses that include self-service options like voice-enabled assistants, online portals, and mobile apps. As a result, self-service is becoming a cornerstone of customer experience in contact centers.

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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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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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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

Powered by Amazon Lex , the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. This includes automatically generating accurate answers from existing company documents and knowledge bases, and making their self-service chatbots more conversational.

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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.