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Beyond NPS: Why Customer Feedback Needs a 360-Degree Revolution

eglobalis

Implementing Effective Customer Feedback Strategies To effectively utilize these metrics, companies must define clear metrics, measures, data sources, scorecards, and KPIs aligned with strategic goals.

NPS 490
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Designing Intelligent CX: A Practical Roadmap for Agentic AI Deployment

eglobalis

Agentic AI systems are built using large language models (LLMs), natural language processing (NLP), machine learning, and automation frameworks. Rather than being limited to narrow tasks, they analyze context, plan actions, execute steps, and learn from outcomes. They are goal-oriented.

AI 249
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Gainsight’s Impact Analyzer Levels Up CS With Machine Learning

Gainsight

And most of that impact is being driven by machine learning, the most important and popular subfield within AI. Customer Success and Machine Learning: A Perfect Match. AI is an umbrella term for the ability of computers to learn and act like humans (thus the intelligence).

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15 CX Experts Talk about the Future and Challenges of Customer Experience in 2018 [part 2]

Lumoa

Also, new tech solutions such as AI and machine learning have been getting a lot of attention. AI and machine learning make customer listening and Voice of Customer analysis—at scale—suddenly possible in a way it wasn’t before. And why not?

CX 121
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Comparing and Purchasing Call Monitoring Software: 20 Experts Reveal the Biggest Mistakes Companies Make (and How to Avoid Them)

Callminer

Nenad is the co-founder & CEO of CroatiaTech , a future technology development company that focuses on software & website development, machine learning, AI, VR, AR and mechatronics. The latter includes agents’ self-analysis scorecards. Get a solution that is…”. Include qualitative and quantitative data.

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4 Contact Center Reports to Start Off Your Year

Fonolo

This brief report uses an interesting structure of comparing “The Reality” vs. “The Promise” for the topics of machine learning, chatbots, natural language processing, IoT and virtual reality. Key findings: “…The reason [machine learning.

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How are customer service metrics changing in the age of AI?

Intercom

Prior to the release of AI-powered bots, automated resolution rate would consist of queries that were resolved by simple bots, or more advanced models built on machine learning, such as Custom Answers for Fin (formerly Resolution Bot). This scoring system can be reflected in a “QA scorecard,” and is unique to each support team.

AI 97