Remove Banking Remove Call Flow Remove Consumers Remove Self Service
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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. Dustin Hubbard, Chief Technology Officer at WaFd Bank.

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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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How To Manage The Average Handling Time (AHT) For Contact Centers?

NobelBiz

To demonstrate this perspective, consider the following examples of AHT discovered on current customers: 3 to 4 minutes for e-commerce customer service; 5 to 6 minutes for telco customer care (excluding technical help); 10 to 12 minutes for legal aid, etc. However, a lower AHT does not always indicate that a call center works optimally.