Remove Chatbots Remove Self Service Remove System Remove Virtual Agent
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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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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.

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New KPI Metrics in the Era of Self Service

TechSee

Modern contact centers are made up of a complex combination of humans and virtual assistants – using both natural and artificial intelligence – operating over multiple channels and using a wide range of tools to solve customers’ issues. Customer care center metrics in the era of self-service clearly require a different approach.

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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.

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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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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.