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AI chatbots can be trained to personalize their responses to customers based on their past interactions and preferences. This can be done by using machine learning algorithms to analyze customer data, such as their purchase history, browsing behavior, and support tickets. For example, a chatbot could recommend products to customers based on the items they have purchased in the past, or offer helpful tips and advice based on the issues they have reported.

Personalized responses can make customers feel more valued and appreciated. They can also help customers find the information and solutions they need more quickly and easily. This can lead to increased customer satisfaction, loyalty, and sales.