Abstract
The integration of Business Intelligence (BI) in e-commerce plays a crucial role in enhancing decision-making and operational efficiency by converting raw data into actionable insights. BI tools like data warehouses, OLAP, and data mining techniques enable businesses to predict consumer behavior, track performance metrics, and identify emerging trends. The proposed BI architecture, which includes components like data collection, data warehouse servers, OLAP servers, and analytics, ensures seamless data flow, enabling real-time analysis and forecasting. This empowers businesses to optimize stock management, personalize marketing efforts, and improve customer relationship management, thereby boosting customer satisfaction and loyalty. However, challenges such as high implementation costs, data security issues, and integration complexities hinder widespread adoption, especially for smaller businesses. Future research should focus on integrating advanced technologies like Big Data, cloud c