SugarCRM

DECEMBER 14, 2023

Transform your raw data into easy-to-understand charts and graphs for easy decision-making Assess customer sentiment with sentiment analysis and accurately detect opportunities for improvement. For example, SugarCRM steps in to translate that data into actionable insights.

Manufacturing 26

Manufacturing Sales Predictive Analytics Data Mining 26

SurveySensum

OCTOBER 17, 2023

Text Analytics software allows you to understand and derive actionable insights from open-ended feedback. InMoment InMoment is a customer experience management solution that helps users understand the voice of their customers and derive actionable insights from qualitative and quantitative feedback.

Customer Feedback 52

Customer Feedback NPS Actionable Insights Sentiment Analysis 52

Zendesk

JANUARY 25, 2024

Now, businesses are utilizing AI models that use machine learning to create human-like, conversational interactions. Using machine learning, natural language processing (NLP), and automation technologies, AI’s potential is seemingly limitless. Start a free trial of Zendesk today.

AI 52

AI Artificial Intelligence Contact Center Machine Learning 52

Lumoa

FEBRUARY 14, 2024

Newer AI language models use Natural Linguistic Programming (NLP) to authentically replicate human speech patterns and have advanced sentiment analysis capabilities that let them register emotion. This CRM software will need AI and machine learning (ML) features to present a meaningful analysis of all that data.

Customer Experience 83

Customer Experience ML Social Media CX 83

Zendesk

JANUARY 30, 2023

What is customer sentiment analysis? Customer sentiment analysis is when a company uses automation to examine feedback left by customers in surveys, social media posts, and so on. Meanwhile, this analysis can provide an overview of the types of tickets being submitted, which helps support teams identify common issues.

Sentiment Analysis 98

Sentiment Analysis Net Promoter Score Social Media Actionable Insights 98

Lumoa

NOVEMBER 21, 2023

Thankfully, the most relevant AI development technologies evaluating customer feedback rely on sentiment analysis. It is a technique that uses Natural language processing (NLP) and machine learning (ML) to scour emotions, opinions, and perspectives. but also to produce future content that may bring better revenues.

Customer Feedback 83

Customer Feedback AI Machine Learning Social Media 83

Zonka Feedback

DECEMBER 26, 2023

Zonka Feedback uses the power of Artificial Intelligence to deliver smart analysis from text responses. It offers smart text analysis, sentiment analysis, decoding intent, and much more. You can sign up for a free 7-day trial or schedule a demo of the product to know more about it.

AI 52

AI Artificial Intelligence Sentiment Analysis Customer Feedback 52

C3Centricity

SEPTEMBER 24, 2017

These are the first three steps of my CatSight Process for actionable insight development. (If Insight development today uses more than information from market research. Therefore technology is used to enable quicker and deeper integration and analysis of all the information flowing into an organisation.

Technology 48

Technology Technology Manufacturing Transportation 48

Lumoa

MARCH 12, 2023

Actionable insights and learnings that help your business grow. Its top features include sentiment analysis, text and speech analytics, personalized insights, real-time feedback, and machine learning. The result? Their ultimate goal is to enable you to improve the customer experience.

Customer Experience 83

Customer Experience Customer Journey Map Sentiment Analysis NPS 83

Hodusoft

FEBRUARY 16, 2024

Real-Time Analytics: With the real-time analytics feature, ITSPs can get instant and actionable insights into call data, performance metrics, and other activities. Technologies like Artificial Intelligence (AI) and machine learning algorithms in call management systems have made call management much easier and smoother than ever.

Customer Experience 52

Customer Experience Sentiment Analysis Artificial Intelligence Technology 52

Experience Investigators

FEBRUARY 20, 2024

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. Cost-Effective and Scalable Solutions: Machine learning means these tools can adapt and improve over time, keeping operational costs low.

Voice of the Customer 98

Voice of the Customer VOC AI Sentiment Analysis 98