Cost-Efficiency and Scalability: The Business Case for Intelligent Automation in Contact Centers
CCNG
DECEMBER 25, 2024
For instance, in customer service, machine learning models can be used to analyze customer behavior and sentiment, enabling more personalized interactions. By employing natural language processing (NLP) and sentiment analysis, contact centers and agents can better understand customer needs and preferences.
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