The technology that helps improve customer experience through personalized recommendations is machine learning (ML). ML algorithms analyze user data, such as purchase history, browsing behavior, and demographic information, to identify patterns and preferences. By using this information, businesses can deliver tailored recommendations to users, enhancing their shopping experience and increasing engagement. Machine learning models can continuously learn from new data, refining their suggestions over time. This results in greater customer satisfaction and loyalty, as personalized experiences often lead to higher conversion rates.