Blinkit eCommerce Sales Analysis

This project analyzes Blinkit's eCommerce sales data using Power BI and Excel to transform raw sales information into actionable business insights. It tracks key metrics like total sales, average ratings, and item counts across different outlets, while examining how factors like product fat content, outlet size, location type, and establishment year impact sales performance. The interactive dashboards help business managers understand which products sell best, how different store characteristics affect revenue, and where opportunities for growth exist. Essentially, it converts complex sales data into clear visual reports that support smarter decision-making for inventory management, store expansion, and customer satisfaction improvements.