Lumoa

JANUARY 24, 2024

When to use text analytics This situation is where automated text analytics in customer feedback is brought in: it can help in sorting out the key topics talked about and reveal the general sentiment per topic. Its features include sentiment analysis, language detection, and AI-driven insights, which cater to a wide range of business needs.

Text Analytics 83

Text Analytics Customer Feedback Net Promoter Score Sentiment Analysis 83

VOZIQ

APRIL 26, 2022

We mentioned one way to combat customer churn is through artificial intelligence (AI), where machine learning and customer interaction analytics provide businesses with an accurate perspective on customer behavior and churn tendencies. The next step to reducing customer churn is fully understanding why it happens.

AI 40

AI Machine Learning Sentiment Analysis Artificial Intelligence 40

Comm100

JUNE 25, 2019

The former is all about business intelligence whereas the latter is all about front-line assistance, be that tools like predictive routing, sentiment analysis, and resource discovery. These systems can even learn from its interactions, building a response model based on the answers chosen by your agents.

AI 49

AI Contact Center Sentiment Analysis Machine Learning 49

SurveySensum

APRIL 5, 2022

It offers you a text and sentiment analysis tool that helps you identify the customer sentiments and the top complaints so that you can resolve their issues to enhance the customer experience. Text and Sentiment Analytics. AI Sentiment Analysis. And not just that. How to analyze your open-ended feedback?

NPS 52

NPS Sentiment Analysis Start-ups Customer Feedback 52

Callminer

APRIL 20, 2018

Machine learning and artificial intelligence (AI) are two technologies that have proven to be much more than passing trends for contact centers. Used together, machine learning and AI empower contact centers to analyze data and use it to make decisions to enhance the customer experience.

Contact Center 186

Contact Center Customer Experience Machine Learning Sentiment Analysis 186

Fonolo

FEBRUARY 2, 2023

Statistical machine learning This type of automation technology focuses on analyzing and mapping patterns in your customer and data, agent activity, and much more. Using features like sentiment analysis, these tools can make suggestions in real time to your agents so they can provide the best help possible to your callers.

Contact Center 140

Contact Center Sentiment Analysis AI Machine Learning 140

Zendesk

MAY 31, 2023

Yuma learns from historical conversations, help centers, content pages, macros, and Shopify products. Knowbler Knowbler (Support) leverages machine learning for auto-populating knowledge articles on a predefined template, while your support agent resolves a case.

E-commerce 52

E-commerce Sentiment Analysis AI Machine Learning 52

SurveySensum

FEBRUARY 11, 2022

Leverage the potential of machine learning with SurveySensum’s text analysis. It helps you identify top customer complaints from thousands of the feedback pool and gives you insights into your customers’ sentiments towards your brand/service/product. ? Text Analytics. Best features. Best features.

Close the Loop 52

Close the Loop Touchpoint NPS Customer Feedback 52

Zendesk

FEBRUARY 27, 2021

Skylight embeds omnichannel interaction and routing capabilities directly into Zendesk to provide agents a single workspace for supporting customer interactions. Loris CX Software (Support) (Chat) uses machine learning to leverage empathy insights that make agents more human, not less.

Invoicing 90

Invoicing CRM Sentiment Analysis Omnichannel 90