This research investigates the significant phenomenon of shopping cart abandonment within the realm of e-commerce, which impacts an estimated 68-70% of online transactions. The objective of the study is to elucidate the principal factors that contribute to cart abandonment, employ predictive analytics to forecast abandonment probabilities, and propose efficacious strategies aimed at diminishing these rates. Utilizing a quantitative research methodology, the investigation scrutinizes a dataset comprising 100 users, assessing variables such as duration of site engagement, items viewed, and shipping expenses through the application of logistic regression modeling. The results indicate that an increase in engagement time is associated with a notable reduction in the likelihood of abandonment, whereas elevated shipping costs, absence of discounts, and the prevalence of mobile device usage are linked to heightened abandonment rates. Specifically, the implementation of discounts is shown to decrease abandonment by 40%, and mobile users exhibit a 50% higher propensity to abandon their carts in comparison to desktop users. The findings emphasize the critical need for optimizing the checkout processes, enhancing website usability, and executing targeted marketing strategies to bolster customer retention and conversion rates within the ecommerce sector.