Remove Call Flow Remove Self Service Remove Virtual Agent
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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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What do consumers expect in a conversational self-service system?

Interactions

Customers are busy and self-service provides a fast and efficient way for them to get things done. Efficiency and convenience are top themes in the self-service equation. Here’s what we found: What consumers want in a conversational self-service system. We asked 1,100 U.S.

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Multimodal User Experience Design Best Practices

Uniphore

Multimodal Virtual Agents allow customers to tap, text and talk to get more done , with little effort. Offering variety can help create more successful outcomes for customers with a lower AHT for agents — a win on both sides of the phone line. Multimodal Virtual Agent Implementation and Best Practices.

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Build an AI-powered virtual agent for Genesys Cloud using QnABot and Amazon Lex

AWS Machine Learning

The rise of artificial intelligence technologies enables organizations to adopt and improve self-service capabilities in contact center operations to create a more proactive, timely, and effective customer experience. In this post, we demonstrate how to elevate traditional customer service FAQs with an interactive voice bot.

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Uniphore Unveils the Industry’s Broadest and Most Comprehensive Conversational Automation Platform

Uniphore

This merger adds a new level of best-in-class automation to real-time agent-assisted interactions, and a superior agent performance and customer experience. Enhanced Self Service with Multimodal Capabilities. Superior Business User Friendly UX. Attended and Unattended RPA.