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Customer Self-Service: Pros, Cons, Examples

TechSee

Customer experience and engagement are not buzzwords – they are solid performance indicators that continue to gain traction and are a top priority for businesses. Today, digital self-service has become the preference – and the new normal, along with higher expectations and reliance on these channels. Measuring Self-Service KPIs.

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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning

The key to making this approach practical is to augment human agents with scalable, AI-powered virtual agents that can address callers’ needs for at least some of the incoming calls. Gartner’s Customer Service and Support Leader poll estimates that live channels such as phone and live chat cost an average of $8.01

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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. These virtual agents can automate routine tasks as well as seamlessly elevate complex interactions to a live agent.

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3 ways virtual agents can boost call center efficiency

Talkdesk

Self-service is a hot topic in the call center industry. From knowledge bases to virtual agents, the potential disruption that a solid set of self-service applications can bring to contact center efficiency and customer experience is unquestionable and justifies all the buzz.

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4 Golden Rules for Conversational AI Self-Service

Speaker: Brian Morin & Helena Chen from SmartAction

As automated self-service options continue to grow, how can you make sure that you and your organization are staying on track? You’ll hear real-world examples from leading companies and discover how you can deliver CX success with AI-powered virtual agents in your organization.

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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

QnABot allows you to quickly deploy self-service conversational AI into your contact center, websites, and social media channels, reducing costs, shortening hold times, and improving customer experience and brand sentiment. The LLM-powered QnABot can also play a pivotal role as an automated real-time agent assistant.

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Millennial Generation Customer Service – The Ultimate Guide

TechSee

each day and often engage in “tech multi-tasking,” such as setting a date via messaging app while while watching Netflix and tweeting about it. They also value brand engagement over social networks as well. I’ll help myself, thanks: Called the Do-It-Yourself Generation, Millennials love self-service. Pay attention.

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Expectations vs. Reality: What Can an AI Assistant Really Do?

Speaker: Brian Morin, Helena Chen, and David Parsons from SmartAction

Let’s put AI assistants to the test by engaging them in a live conversation and see how they perform under different use cases. You’ll learn: The latest in self-service deployments over voice & chat through live demonstrations. What use cases are ideal for automation -- and what’s difficult for most virtual agents to get right.

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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.