International Journal of Scientific Research and Engineering Development

The project titled “Chocolate Sales Analysis and Business Insights Using Power BI and Python” is developed to study chocolate sales data and convert raw sales records into useful business information. Sales data collected from Excel/CSV files contains details such as product names, sales amount, profit, customer information, regional sales performance, and monthly sales records. This data is stored in MySQL, processed using Python, and visually represented through Power BI dashboards, while HTML and CSS are used for the frontend. The analysis helps in understanding sales trends, identifying best-selling products, comparing region-wise performance, and observing customer purchasing behavior. By presenting the information in a clear visual format, the project makes sales reporting easier to understand and reduces the effort involved in manual analysis. The insights generated from the dashboard help in identifying important patterns, improving reporting accuracy, and supporting better business decisions for future growth.

P.Logaiyan, D.Monica,"Chocolate Sales Analysis and Business Insights Using Power BI and Python" International Journal of Scientific Research and Engineering Development, V9(3): Page(1700-1706) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.