Fonolo

JANUARY 12, 2023

The same holds when considering how artificial intelligence is changing the contact center. . Again: these tools employ automation and at least a bit of artificial intelligence. . Here are four main areas where we expect to see advancements in artificial intelligence change – and improve – the contact center. .

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Artificial Intelligence Contact Center Sentiment Analysis AI 138

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. Smarter platforms learn not just about topics but also about better routing to high-quality customer service agents.

Voice of the Customer 98

Voice of the Customer VOC AI Sentiment Analysis 98

Zonka Feedback

DECEMBER 26, 2023

In the ever-evolving landscape of data collection and analysis, Artificial Intelligence (AI) has emerged as a game-changer for survey tools. These innovative technologies are reshaping the way we gather and interpret information, providing unprecedented insights and efficiency. Forget clunky forms and generic questions.

AI 52

AI Artificial Intelligence Sentiment Analysis Customer Feedback 52

Lumoa

NOVEMBER 21, 2023

But it is no longer a challenge, thanks to modern technologies like martech tools and back-office solution software and the use of artificial intelligence (AI) in customer feedback analysis. Thankfully, the most relevant AI development technologies evaluating customer feedback rely on sentiment analysis.

Customer Feedback 83

Customer Feedback AI Machine Learning Social Media 83

Zendesk

JANUARY 25, 2024

An artificial intelligence (AI) call center is a customer service operation that uses AI technologies to manage customer inquiries, interactions, and tasks across voice and digital channels. Now, businesses are utilizing AI models that use machine learning to create human-like, conversational interactions.

AI 52

AI Artificial Intelligence Contact Center Machine Learning 52

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. Large volumes of qualitative data turn into actionable insights.

Text Analytics 83

Text Analytics Customer Feedback Net Promoter Score Sentiment Analysis 83

SugarCRM

DECEMBER 14, 2023

Such tools use artificial intelligence to offer your company a series of benefits: Get full situational awareness of your business and customers based on historical data and customer journeys. For example, SugarCRM steps in to translate that data into actionable insights.

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