Remove use-cases evaluation-forms
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Integrated CX: The Complete Guide

InMoment XI

Capture and Connect Data From Every Source InMoment’s first pillar of integrated customer experience is achieved by consolidating Voice of the Customer (VoC) data and non-customer data across the full customer journey by leveraging all forms of customer feedback channels. Which customers can we speak to about your services?

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Predictive Customer Service: AI’s Role in Anticipating Needs

Comm100

We will also consider how AI algorithms are used to process customer data patterns to predict their service requirements – dealing with issues before they even arise. The role of AI in anticipating the needs of the customer Analyzing data to provide accurate predictions is arguably the primary use of artificial intelligence.

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How Contact Center Optimization Can Improve Your Bottom Line

InMoment XI

A contact center is a centralized facility or department used by organizations to manage customer interactions through various communication channels, such as phone calls, emails, chat, and social media. By reducing the idle in your case management , you’ll notice faster issue resolution times and a more agile contact center.

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How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

AWS Machine Learning

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. Apply the trained model to make predictions of future events.

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Review Management: An Essential Component of Modern Marketing

InMoment XI

By harnessing reviews, companies can capture Voice of the Customer data from an additional channel, identify rich insights, and take deliberate actions that resolve both individual cases and recurrent experience issues. Data and insights from reviews can be used to make improvements and meet customer expectations.

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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps). Furthermore, we deep dive on the most common generative AI use case of text-to-text applications and LLM operations (LLMOps), a subset of FMOps.

Training 103
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Customer Service Superstars: How to Evaluate Call Center Performance

Ann Michaels and Associates

Getty Images Conducting call center evaluations for customer service is essential for ensuring consistent quality and identifying areas for improvement. However, many companies just don’t have the resources available internally to conduct evaluations on a regular basis. Use a scale (e.g., Who were their star performers?