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What is the Role of AI in Customer Feedback Analysis?

Lumoa

But it is no longer a challenge, thanks to modern technologies like martech tools and back-office solution software and the use of artificial intelligence (AI) in customer feedback analysis. But it is one thing to claim that a business values customer feedback and another to sift out the actionable data.

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Making Customer Feedback Actionable - How Can AI Help?

Lumoa

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. Lumoa’s analytics solution is built on top of this philosophy.

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Elevating Customer Support: Five Goals to Strive for in 2024

TeamSupport

Being a (metaphorical) mind reader isn’t only possible, but thanks to advances in technology, it’s now a customer expectation. In 2024, businesses should focus on proactive support strategies, such as predictive analytics and AI-driven insights, to identify potential issues and address them before customers even realize there's a problem.

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How Generative AI Can Uplift Your Voice of the Customer (VoC) Program

Experience Investigators

Voice of the Customer (VoC) programs have leveraged some level of artificial intelligence (AI) in many ways already, including pattern recognition, predictive analytics, and sentiment analysis. There are many ways AI is offering faster and more efficient ways to understand customer feedback and deliver better experiences.

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Predictive Customer Service: AI’s Role in Anticipating Needs

Comm100

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. In terms of customer service, this technology drastically improves on traditional methods such as obtaining customer feedback through online surveys, for example.

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7 Must-Have Features for Next-Level Database Monitoring

SurveySensum

The Pulse of Predictive Analytics Predictive analytics forms the heart of proactive database management. Incorporating predictive analytics means your database isn’t solely operational—it’s strategic. 7 Must-Have Features for Next-Level Database Monitoring 1.

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Top 15 NBFC Customer Feedback Tools for Effective Feedback Management

SurveySensum

And for this, they are required to understand the importance of gathering and analyzing customer feedback. This is why, in this blog, we will explore the top 15 customer feedback tools for NBFCs that you can use for your business to collect customer feedback and gauge customer loyalty and satisfaction.