Callminer

DECEMBER 5, 2019

Microsoft’s Richard Peers predicted that by 2020, 85% of all customer service interactions would be handled without the need for a human agent. Although his prediction was not completely accurate, there has been a significant move in that direction. Here are my predictions on how the contact centre will evolve in 2020.

Predictive Analytics 207

Predictive Analytics Unstructured Data Omnichannel Touchpoint 207

Hodusoft

OCTOBER 17, 2024

The call center sector is one such industry that can benefit from AI-powered technology. Superior call center technology, which leverages AI and omnichannel communication, enables companies to route incoming calls to the right agents and departments as well as to give faster and superior service to customers. It happens by design.”

Omnichannel 52

Omnichannel AI Customer Service Contact Center 52

SurveySensum

SEPTEMBER 11, 2024

. → Here’s the list of the top 7 Customer Journey Analytics tools Real-time Monitoring : Implementing real-time monitoring via in-app feedback, website pop-ups, chatbots, social media, web analytics, etc, will help you capture immediate customer responses and enable you to act in real time.

Predictive Analytics 52

Predictive Analytics AI Customer Experience Text Analytics 52

SurveySensum

OCTOBER 29, 2024

It Enables Data-Driven Decision-Making : Insights derived from analytics that are backed by numbers and data, enable businesses to make precise and informed decisions regarding staffing, technology investments, training, etc. Let’s understand each of them.

Contact Center 52

Contact Center Text Analytics Sentiment Analysis Machine Learning 52

Sprinklr

OCTOBER 20, 2021

Monitor and analyze results with visual insights that help you aggregate millions of data points in one place. Surface actionable insights across billions of data-points by using industry-leading AI for unstructured data. Brands are awash in an ocean of unstructured data. Streamline customer engagement.

Social Media 85

Social Media Unstructured Data CXM Social Listening 85

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

Ameyo Callversations

APRIL 21, 2022

Moreover, the operation of such complex contact centers is supported by technology. Importance of Contact Center Technology Stack. Contact center technology has come a long way since the early days of call centers. Traditionally, technology has enabled functional teams with time to focus on their core jobs.

Contact Center 52

Contact Center Technology Technology Unstructured Data 52