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Multimodal User Experience Design Best Practices

Uniphore

Today’s most popular assistants offer a multimodal experience — the ability to interact on multiple channels — and are a major leap from the voice-only assistants that dominated the market just a few years ago. The same holds true in the contact center. How to build a smarter IVR with a multimodal user expereience.

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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

Government departments and businesses operate contact centers to connect with their communities, enabling citizens and customers to call to make appointments, request services, and sometimes just ask a question. These options are unsatisfying to callers who just want to ask an agent a question to get an answer quickly.

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Meet Sophie AI: The Future of Service

TechSee

However, today’s early Generative AI solutions lack context, and deliver a poor user experience. These chatbots demanded a lot of effort from users and administrators. Rarely were either left with a very positive experience. In contrast, Sophie AI is trained like today’s human agents and engineers.

Meeting 109
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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. Generated answers can be modified to create the best experience for the intended channel.

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7 Knowledge Management Best Practices That Drive Great Customer Service

Uniphore

Why are so many knowledge bases inefficient to use when contact centers invest so much money in them? See where your contact center makes its mark or could use a little improvement. An “outside in” approach requires you to think about the user experience as you design, rather than just basic functionality.

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Enhance Amazon Lex with conversational FAQ features using LLMs

AWS Machine Learning

Amazon Lex is a service that allows you to quickly and easily build conversational bots (“chatbots”), virtual agents, and interactive voice response (IVR) systems for applications such as Amazon Connect. It also takes into account the semantic context from stored documents more effectively and efficiently.