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How Artificial Intelligence and Predictive Analytics Can Help You Reduce Customer Churn

CSAT.AI

Real-world use cases that demonstrate how artificial intelligence can help you gauge customer sentiment and which customers are at risk for cancellation are here. You have to be already gathering customer data in a relational database. Artificial Intelligence Can Help Predict Customer Churn.

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Harnessing the Power of Generative AI in CRM

SugarCRM

However, with recent technological advancements, Artificial Intelligence (AI) and Machine Learning (ML) capabilities have become infused in all sorts of tools, and CRMs are no exception. Today’s CRM tools have been infused with predictive analytics and machine learning capabilities. Generative CRM: What Is It?

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Contact Center Technology Stack: The (Immediate) Transformation You Need?

Ameyo Callversations

Apart from Conversational AI, Artificial intelligence projects will help employees or customer service agents be more productive by performing repetitive tasks. In addition, cloud-based analytics engines and unstructured data processing will help decipher the insights hidden in the data.