Analysis of sales data from Bansal Supermarket to identify trends and improve decision-making.
This project analyzes sales data from Bansal Supermarket to derive actionable insights for inventory management, pricing strategies, and sales optimization. As a GRN Officer at Bansal Supermarket, I leveraged my experience to interpret the data and provide relevant recommendations.
Dashboard overview: Top selling items, profitability, and key metrics visualized from Bansal Supermarket sales data.
This pie chart shows the proportion of sales from Food and Non-Food categories, highlighting the dominant segment.
This bar chart displays the top 10 best-selling items, allowing focus on high-demand products.
This chart shows how quickly inventory turns over in each category, indicating efficiency in stock management.
Item Name | Category | Total Sale Value (₹) | Profit Amount (₹) | Profit Margin (%) | Stock Turnover Rate |
---|---|---|---|---|---|
TIRUPATI COTTONSEED OIL 1lt | OIL (EDIBLE) | 63,636 | 1,188 | 1.87 | 1.21 |
RAAG PALMOLIVE OIL POUCH 1 LTR | OIL (EDIBLE) | 35,326 | 967 | 2.74 | 1.09 |