The Purchase Prognosticator: Forecasting Customer Buys using XGBoost and Random Forest ...

— Predicting client purchase behavior has become a crucial task for e-commerce firms in today's data-driven business world. This research presents a machine learning-based comprehensive client purchase prediction system. To predict future purchase trends, this system uses the Random Forest and XGBoost algorithms to analyze previous consumer data, including financial indicators, frequency, and recency. The model's accuracy is thoroughly assessed, demonstrating its ability to provide organizations with useful insights into the preferences and behaviors of their customers. With the system's framework in place for data-driven decision-making, businesses can improve customer experiences, customize marketing campaigns, and maximize inventory control. This study examines the methods, findings, and encouraging possibilities for a wider use of customer purchase prediction systems in a range of businesses. ...