Blinkit Sales Analysis Dashboard with Power BI

The Blinkit Sales Analysis Dashboard provides a comprehensive view of sales performance across various outlets. It enables quick insights into customer preferences, outlet effectiveness, and product metrics, facilitating data-driven decisions for optimizing sales and customer satisfaction.

Key Metrics Tracked:

• Total Sales: Represents the overall revenue generated across all outlets, allowing analysis of peak and off-peak sales periods.
• Average Sales: Measures the average sales value, helping identify performance benchmarks and seasonal trends.
• Number of Items: Tracks the quantity of products, essential for inventory planning and demand forecasting.
• Average Rating: Displays the average customer rating per product or outlet, providing insights into customer satisfaction and areas for improvement.
• Outlet Size: Analyzes sales performance based on outlet size (e.g., small, medium, large) to assess size-based efficiency.
• Outlet Type: Differentiates sales across outlet types (e.g., Breads, Dairy) to identify the most profitable types.
• Outlet Establishment: Examines the impact of the outlet's age on sales, helping evaluate newer vs. established locations.
• Fat Content: Tracks product-specific data on fat content (e.g., low-fat, regular) to understand customer preferences and health trends.

Benefits of the Dashboard:

This dashboard enables a granular view of Blinkit's sales data, uncovering trends, optimizing inventory, and enhancing customer satisfaction through targeted data-driven strategies

View Dashboard, Click here: Blinkit-Analysis

---

Author: Lakshmi Kant

• Linkedin: https://www.linkedin.com/in/kant-ai/
• Portfolio: https://kantrixai.netlify.app/