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Queue Management Best Practices for Contact Centers

Fonolo

In this blog, we’ll explore the best practices for call center queue management. Best Practices for Call Center Queue Management Use intelligent call routing Intelligent call routing uses advanced algorithms to direct incoming calls to the appropriate agent based on things like language, skillset, and call history.

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Best practices to build generative AI applications on AWS

AWS Machine Learning

By the end, you will have solid guidelines and a helpful flow chart for determining the best method to develop your own FM-powered applications, grounded in real-life examples. Whether creating a chatbot or summarization tool, you can shape powerful FMs to suit your needs.

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7 Digital Customer Experience Best Practices for Higher Satisfaction

Totango

Here are 7 digital customer experience best practices. For example, if data indicates that a customer has not completed their account profile, a workflow can be triggered which sends the customer a reminder and a link to a tutorial on how to finish their profile. Use Messaging Which Connects with Your Target Audience.

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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning

Some examples include a customer calling to check on the status of an order and receiving an update from a bot, or a customer needing to submit a renewal for a license and the chatbot collecting the necessary information, which it hands over to an agent for processing.

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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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Drive efficiencies with CI/CD best practices on Amazon Lex

AWS Machine Learning

Let’s say you have identified a use case in your organization that you would like to handle via a chatbot. You liked the overall experience and now want to deploy the bot in your production environment, but aren’t sure about best practices for Amazon Lex. This cycle repeats as you add new use cases and enhancements. Development.

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Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Numerous customers face challenges in managing diverse data sources and seek a chatbot solution capable of orchestrating these sources to offer comprehensive answers. This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment.