Remove Customer Expectations Remove Machine Learning Remove ML
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Beyond NPS: Why Customer Feedback Needs a 360-Degree Revolution

eglobalis

This simplicity overlooks the complexity of customer relationships and experiences, failing to capture nuanced feedback crucial for improving overall customer satisfaction. This approach ensures a comprehensive evaluation of customer experience efforts, fostering continuous improvement and adaptation to evolving customer expectations.

NPS 480
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Announcing powerful new Intercom reporting features: conversation topics and custom reports

Intercom, Inc.

What’s more, conversation topics also uses powerful machine-learning analysis of your customer conversations to generate suggested topics for you to explore, ensuring you get a deep understanding of the various topics of concern to your customers. Intercom’s new conversation topics feature.

ML 243
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A Complete Guide to Customer Service Automation

Comm100

Customers experience faster, more accurate resolutions while repetitive tasks are offloaded from human agents, enabling them to focus on more nuanced issues. They use machine learning to refine and prioritize answers based on relevance. Ongoing learning is also essential.

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The Power of Hyper-Personalization in the Contact Center

Fonolo

Customer service is all about meeting and exceeding customer expectations. But did you know that hyper-personalization in the contact center is one of the best ways to delight your customers? Customers want to feel seen. It enables a more precise and relevant customer experience.

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Current Status of Speech (and Text) Analytics

DMG Consulting

But it’s only in the last 18 months that AQM solutions are seeing significant adoption, due to innovations in the area of artificial intelligence (AI) and machine learning (ML). Analytics-enabled QM has been talked about for at least 12 years and has been available to some degree for 10 of them.

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The Fourth Industrial Revolution: How automation and AI will impact manufacturing

Zendesk

While direct-to-consumer, on-demand, and subscription services have been around for a while, consumers’ expectations have changed significantly. More manufacturers are using AI, machine learning (ML), and blockchain to automate workflows and increase efficiencies. Intelligent technology. An evolving workforce.

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To AI or not to AI? The support leader’s dilemma

Intercom

Over the course of my career, support has traditionally been very transactional – customers would get in touch with issues or questions, and support reps would resolve and close them out. In recent years, with the rise of online support at massive scale, customer expectations have changed dramatically.

AI 90