• Nidha S V
• Dishani
• Ganavi P Kotiyan
• Kirandeep Ratheesh Nambiar
• Ajay Prinston Pinto

In today’s data-driven economy, the integration of Artificial Intelligence (AI) with Business Intelligence (BI) has redefined traditional analytics and forecasting processes. This paper provides a comprehensive review of how AI techniques— specifically clustering, regression, classification, and time-series forecasting—are transforming sales and finance forecasting within BI systems. By analyzing recent research and real-world applications, the study highlights the role of K-Means clustering in customer segmentation, regression models in sales trend analysis, classification in financial risk evaluation, and forecasting methods in revenue prediction. The paper also examines key BI tools enabling these AI capabilities, such as Power BI and Tableau. The objective is to explore the synergy between AI and BI and how it enhances forecasting accuracy, strategic planning, and business decision-making. This review serves as a reference for practitioners and researchers aiming to implement intelligent forecasting systems in dynamic business environments.

AI Forecasting, Power BI, Sales Prediction, Finance Analytics, Python, Business Intelligence

"REVIEW ON SALES AND FINANCE FORECASTING DASHBOARD USING AI ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.816-821, July-2025, Available :http://www.jetir.org/papers/JETIRGX06155.pdf

"REVIEW ON SALES AND FINANCE FORECASTING DASHBOARD USING AI ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp816-821, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06155.pdf