Intercom, Inc.

FEBRUARY 13, 2020

In the omnichannel era we’re now living in, automation is the hook that helps crochet all the threads together. “So we’ve seen companies who have basically re-centralized their data into cloud data warehouses, and that is the source of truth. It comes down to omnichannel management – something Tray.io

Unstructured Data 181

Unstructured Data Omnichannel Machine Learning Structured Data 181

Lumoa

JANUARY 8, 2024

And, if you’re nodding along, I’m also betting you’re savvy enough to know that the future of business success is tightly intertwined with embracing Machine Learning (ML) and Artificial Intelligence (AI). Machine Learning (ML) Integration: Stay ahead of the curve.

Sentiment Analysis 147

Sentiment Analysis Text Analytics Machine Learning ML 147

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. We’re moving towards a personalized omnichannel experience in B2B customer journeys. Both groups of technologies can be utilized to make analytics more actionable.

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

Taylor Reach Group

SEPTEMBER 29, 2020

And don’t forget Automation, Artificial Intelligence, and machine learning – all to be considered. First, omnichannel interaction capturing with voice, email, chat, and social should be the primary channels through which you capture and analyze data in your CRM.

Contact Center 85

Contact Center Artificial Intelligence CRM Net Promoter Score 85

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

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 VOC Sentiment Analysis Close the Loop 52