eglobalis

MARCH 30, 2025

This article examines in detail how businesses in both B2B and B2C contexts are leveraging AI, sentiment analysis, voice-of-customer (VoC) platforms, predictive analytics, and streaming data to capture customer insights in the moment. Advanced analytics, including machine learning, crunch this data to distill key pain points.

AI 326

AI CX Sentiment Analysis Predictive Analytics 326

SurveySensum

OCTOBER 29, 2024

Instead of relying on the traditional method of manually keeping track of customer interactions, feedback, and agent performance, contact center analytics centers around improving and optimizing customer service processes with the help of advanced analytics like AI, machine learning, etc. Let’s understand each of them.

Contact Center 52

Contact Center Text Analytics Sentiment Analysis Machine Learning 52

SurveySensum

SEPTEMBER 11, 2024

We are so used to Netflix’s recommendations, the tailored playlist of Spotify, shopping recommendations of Amazon, etc, so much so that according to McKinsey 35% of Amazon and 75% of Netflix recommendations are provided by machine learning algorithms.

Predictive Analytics 52

Predictive Analytics AI Customer Experience Text Analytics 52

SurveySensum

FEBRUARY 17, 2025

Text Analytics Tools. What Are Text Analytics Tools? In simple terms, text analytics tools leverage machine learning, NLP, and other AI capabilities to break down unstructured data from customer feedback, online reviews, customer support chat, etc. But, How Do Text Analytics Tools Work?

Text Analytics 52

Text Analytics Sentiment Analysis Social Media Machine Learning 52

Hodusoft

OCTOBER 17, 2024

Lack of Proactive Customer Engagement Without AI’s predictive analytics, call centers may miss opportunities to engage customers proactively. Machine Learning (ML) In the last few years, ML is proving to be a game changer for call centers and customer-facing organizations.

Omnichannel 52

Omnichannel AI Customer Service Contact Center 52

SurveySensum

MARCH 3, 2025

What is Social Media Text Analytics? Social media text analytics is the process of analyzing text-based data from social media platforms using technologies like NLP, machine learning, and AI to extract meaningful insights. Predictive analytics : Use historical data to predict which customers are at risk of leaving.

Text Analytics 52

Text Analytics Social Media Sentiment Analysis AI 52

Lightico

FEBRUARY 11, 2024

IDP leverages and combines AI, Large Language Models (LLM) , OCR, and natural language processing (NLP) to seamlessly extract data from a diverse array of documents, ranging from scanned forms to digital submissions. All with our pre-training.

Data Entry 98

Data Entry Compliance Finance Unstructured Data 98