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. It involves creating customer touchpoints, analyzing customer feedback and data , and leveraging customer insights to build customer-centric products/services.

Net Promoter Score 178

Net Promoter Score Customer Experience B2C Social Media 178

SurveySensum

MARCH 3, 2022

This automated text extraction process helps you structure your data and identify critical texts, tags, etc., in seconds using machine learning. Semantria Storage and Visualization (SSV) allows you to collect, store, and analyze texts to generate reports and structure data to identify trends. . Integrations.

Voice of the Customer 52

Voice of the Customer Sentiment Analysis VOC Close the Loop 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 114

Net Promoter Score Customer Experience B2C CEM 114

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 64

Net Promoter Score Customer Experience B2C CEM 64