-- Business Problem Analyze retail sales data to identify sales trends, profitable products, cust...-- Business Problem Analyze retail sales data to identify sales trends, profitable products, cust...
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-- Business Problem
Analyze retail sales data to identify sales trends, profitable products, customer behavior, and regional performance to improve business decisions and maximize profit.
-- What I Did
* Cleaned and organized the data.
* Created calculated fields (Revenue, Cost, Profit).
* Built Pivot Tables and Pivot Charts.
* Designed an interactive Excel dashboard with slicers.
* Analyzed sales, profit, products, customers, and regional performance.
* Created KPI cards for key business metrics.
-- Key Insights
* Total Revenue: 14.30M generated from 5,000 transactions.
* Fashion generated the highest profit (1.66M) among all product categories.
* Electronics recorded the highest sales revenue (6.32M).
* Groceries contributed the lowest revenue and profit, indicating lower business performance.
* The business has a balanced revenue distribution between Fashion and Electronics, while Groceries have growth potential.
* Profitability varies across categories, highlighting opportunities to optimize pricing and promotional strategies.
-- Recommendations
* Increase focus on high-profit products.
* Improve sales in low-performing regions.
* Optimize discounts to maximize profit.
* Plan inventory based on monthly sales trends.
* Launch targeted marketing campaigns for customer retention.
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