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Customer Self-Service: Pros, Cons, Examples

TechSee

Today, digital self-service has become the preference – and the new normal, along with higher expectations and reliance on these channels. The role of technology is more important than ever in improving customer service and operational efficiencies. Download our eBook: What Self Service Will Look Like in 2025 .

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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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New KPI Metrics in the Era of Self Service

TechSee

With many of these channels and tools enabling self-service, old-school KPIs are no longer sufficient. When a virtual agent fields a customer’s enquiry, collects all relevant details and passes it to a human agent for final approval, how should average handling time ( AHT ) be measured? Call Deflection Rate.

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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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Millennial Generation Customer Service – The Ultimate Guide

TechSee

On her way out, she checks with Alexa whether her shoes have been shipped by Amazon, grabs her ear buds, sets her smart home security system, and rides her electric scooter to her WeWork shared office space, stopping briefly at the local convenience store to pick up her morning coffee. Sounds exhausting? Not for Ashley. Visual engagement.

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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. AI: "Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text."

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Meet Sophie AI: The Future of Service

TechSee

Sophie’s Hub and Spoke Design The Sophie AI Brain Sophie AI is a centralized, multisensory brain that powers multiple service applications across the enterprise. link] These models can be used as part of your automated self-service Visual Journeys, through Sophie AI Assistant and the Sophie AI Agent.

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