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The Future of Debt Collection Agencies: Contact Center Technology and Customer-Centric Strategies

NobelBiz

Traditional collection methods, such as persistent phone calls and letters, are making way for more nuanced, technology-driven, and customer-oriented strategies. This evolution reflects broader trends in consumer behavior, regulatory environments, and technological advancements.

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How to Streamline Customer Service – 7 Actionable Strategies

Comm100

So how can businesses rise to mee these expectations, while keeping a lid on budget and resources? The answer is to streamline customer service through intelligent technology, AI-powered automation, and empowering agents. How to Streamline Customer Service with 7 Actionable Strategies 1.

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3 Costly Points of Failure in Omnichannel Customer Experience and How to Fix Them

TechSee

Providing a digital, omnichannel customer experience is a clear imperative. per contact compared to live channels which cost an average of $8.01 However, current technology solutions are not meeting demand. However, current technology solutions are not meeting demand. Gartner reports that self-service costs around $0.10

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How to Elevate the Customer Experience with Conversational Commerce

Lumoa

Conversational commerce is all about interacting with customers through various communication tools, like live chat, chatbots, and contact centers. This omnichannel approach gives companies a chance to have a one-to-one conversation with customers on their chosen platform. Let’s explore what forms that technology can take.

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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 Improve Agent Productivity – Work Smarter, not Harder

Comm100

High workloads, outdated or inadequate technological tools, and lack of adequate training are among the primary obstacles. Chatbots can manage multiple interactions simultaneously, offering instant responses to customers 24/7, which drastically reduces wait times and improves customer satisfaction.

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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. With Amazon Lex bots, you can use conversational AI capabilities to enable these capabilities within your call center.