<ul><li>Machine learning can proactively predict escalations in customer support tickets by analyzing historical data and using features like message length, sentiment, and response time.</li><li>Natural Language Processing enhances the predictive power by extracting meaningful signals from text data and combining it with structured data like timestamps and agent assignments.</li><li>ML's scalability and consistency allow it to identify risks without bias or fatigue, and the models can be continuously retrained to improve effectiveness over time.</li><li>Supervised ML augments human decision-making in customer support, enabling teams to focus on important issues and improving overall customer service outcomes.</li></ul>

How Machine Learning Can Proactively Improve Customer Service Outcomes

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