A Business Intelligence (BI) system using cloud computing and data mining to analyze and anticipate sales patterns is proposed in this study. BI technology helps firms collect and analyze massive volumes of data, but processing it takes time. A cloud-based corporate data management and processing system that can efficiently compute large amounts of data is proposed to solve this. Machine learning techniques like Decision Tree and Random Forest will train the system to forecast sales and demand patterns using prior sales data. Forecasting accuracy will be best with the model with the lowest Mean Square Error. The initiative analyses data to help business owners make product demand, stock, and revenue optimization choices. Initial results show that this cloud-based BI method improves sales prediction accuracy and company performance.