Authors: Vaishnavi Kane, Assistant Professor Dr. Suhas Mache, Assistant Professor Dr. Arshiya Khan
Abstract: In the modern business environment, accurate sales forecasting is essential for effective decision-making. This paper explores the integration of time series forecasting techniques with Business Intelligence (BI) tools, specifically using Microsoft Power BI, to build an interactive dashboard for sales prediction. We present a model that combines statistical forecasting methods with data visualization to enhance decision-making in sales management. The system is designed to provide real-time insights, support strategic planning, and identify sales trends through dynamic dashboards. Our case study demonstrates that integrating forecasting models within BI platforms significantly improves sales predictability and operational efficiency. This study explores the integration of time series forecasting techniques with Microsoft Power BI to build a dashboard that predicts future sales. By combining forecasting models like ARIMA and Prophet with Power BI’s interactive features, the system enables better business decision-making. The dashboard allows users to visualize historical trends and forecasted sales data in real time.
