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Four key considerations for customer self-service success

Eptica

Date: Monday, January 24, 2022 Author: Pauline Ashenden - Demand Generation Manager Four key considerations for customer self-service success. Author: Pauline Ashenden - Demand Generation Manager The average customer today is more digital-savvy than ever and is happy to find answers to routine customer service questions themselves.

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Customer Self Service – What the Future Holds

TechSee

Research indicates that by implementing AI in their customer-facing operations, companies can expect to save approximately 30 billion customer service hours and realize $8B in savings thanks to customer self service. As self-service technology becomes more sophisticated, both consumers and enterprises are feeling the benefits.

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5 Steps Toward a Successful Self-Service Strategy

TechSee

Self-service is finally coming of age, with leading enterprises embracing the paradigm of customers helping themselves. But it turns out that not all self-service options are created equal. Walmart axed its Mobile Express Scan & Go self-checkout experience due to negative feedback from customers.

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Choosing the Best Text Analysis Software for Your Business

InMoment XI

In a business landscape that has become digital-first, where consumers’ expectations can change overnight, it has never been more important to the success of your business to be able to understand and leverage data. By converting raw data into actionable insights, businesses can improve their strategies and make more informed decisions.

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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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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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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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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.