Lumoa

FEBRUARY 9, 2023

The most important AI technologies, that are 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. With AI, you can get answers to most of your “why” questions. Why is NPS ® going up or down?

Net Promoter Score 167

Net Promoter Score Customer Experience B2C Social Media 167

Lumoa

MARCH 20, 2018

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. But machine learning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?

Net Promoter Score 107

Net Promoter Score Customer Experience CEM B2C 107

Customer Experience Matrix

JUNE 17, 2019

The main thing to watch is how quickly the announcements turn into released products. The cloud services vendors are starting that climb, adding cloud connectors, data transformations, in-database analytics, machine learning, and reporting tools. What should we look for next from these vendors?

Compliance 83

Compliance Engineering Start-ups Retail 83

Zendesk

DECEMBER 1, 2020

Digital transformation isn’t just about “bringing efficiency to outdated business operations” or “reducing operational costs.” Read on to learn what digital transformation is—and more importantly, how to keep your customer at the center of it. Main areas of digital transformation. That’s table stakes.

AI 98

AI Technology Technology Artificial Intelligence 98

CommBox

DECEMBER 15, 2021

A key area that businesses are looking to automate is their customer communications. The average business spends significant resources on dealing with minor customer service and sales issues and this can really slow down business operations.

Omnichannel 52

Omnichannel Sales Machine Learning AI 52

Lumoa

MARCH 20, 2018

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. But machine learning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?

Net Promoter Score 60

Net Promoter Score Customer Experience CEM B2C 60

InteractionMetrics

JULY 10, 2023

“…for most [machine learning] projects, the buzzword “AI” goes too far. It overly inflates expectations and distracts from the precise way ML will improve business operations,” writes Eric Siegel in the Harvard Business Review. So, is AI for customer experience just hype?

Unstructured Data 40

Unstructured Data B2B AI Customer Experience 40