The technology used to personalize online shopping experiences typically involves machine learning and recommendation algorithms. These systems analyze past consumer behavior, preferences, and demographic information to suggest products that align with individual tastes. By leveraging data-driven insights, retailers can provide tailored offers and enhance the overall shopping experience. Personalization not only increases customer satisfaction but also drives sales and fosters brand loyalty.