Predicting online shoppers' purchasing intention involves using data analytics and machine learning techniques to forecast whether a user visiting an e-commerce website or app is likely to make a purchase or not. This prediction is based on various factors such as browsing history, demographics, past purchase behavior, time spent on the website, and interactions with products. By analyzing these factors, businesses can tailor their marketing strategies, personalize recommendations, and optimize the user experience to increase the likelihood of conversion and maximize sales.