Interactive Coffee Sales Excel Dashboard
Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted2 hours ago
Project Overview: Interactive Coffee Sales Analysis & Dashboard (Excel)
In this project, I transformed raw sales data into an interactive, insight-driven Excel Dashboard to analyze retail coffee shop performance and optimize business decision-making.
Key Steps & Methodology:
Data Structuring & Cleaning (Transactions Sheet):
Processed detailed transaction records containing transaction ID, timestamp, store location, product categories, quantities sold, unit prices, and product specifics.
Data Aggregation & Analysis (Analysis & Pivot Table Sheets):
Built dynamic Pivot Tables to summarize high-level Key Performance Indicators (KPIs), including:
Total Orders & Quantities Sold
Total Revenue & Total Costs
Net Profit & Profit Margins (%)
Segmented metrics by product categories (e.g., Coffee, Bakery, Tea, Drinking Chocolate, Coffee Beans) and individual store locations.
Interactive Dashboard & Visualization (Dashboard Sheet):
Designed a comprehensive dashboard featuring key visual elements:
Bar Charts: Comparing Total Orders, Total Cost, Total Sales, and Net Profit across product categories.
Donut/Pie Charts: Showing quantity distribution by product type.
Dynamic Slicers: Enabled interactive filtering by Store Location (Astoria, Hell's Kitchen, Lower Manhattan) and Month (Jan – Jun), allowing users to drill down into specific performance metrics effortlessly.
Key Insights Derived:
Instant visibility into high-margin product categories vs. volume drivers.
Clear comparative analysis between store locations over time.
Data-backed foundation for inventory management, pricing strategies, and store-level optimization.
Tools Used: Microsoft Excel (Pivot Tables, Advanced Formulas, Slicers, Data Visualization, Dashboard Design).*
In this project, I transformed raw sales data into an interactive, insight-driven Excel Dashboard to analyze retail coffee shop performance and optimize business decision-making.
Key Steps & Methodology:
Data Structuring & Cleaning (Transactions Sheet):
Processed detailed transaction records containing transaction ID, timestamp, store location, product categories, quantities sold, unit prices, and product specifics.
Data Aggregation & Analysis (Analysis & Pivot Table Sheets):
Built dynamic Pivot Tables to summarize high-level Key Performance Indicators (KPIs), including:
Total Orders & Quantities Sold
Total Revenue & Total Costs
Net Profit & Profit Margins (%)
Segmented metrics by product categories (e.g., Coffee, Bakery, Tea, Drinking Chocolate, Coffee Beans) and individual store locations.
Interactive Dashboard & Visualization (Dashboard Sheet):
Designed a comprehensive dashboard featuring key visual elements:
Bar Charts: Comparing Total Orders, Total Cost, Total Sales, and Net Profit across product categories.
Donut/Pie Charts: Showing quantity distribution by product type.
Dynamic Slicers: Enabled interactive filtering by Store Location (Astoria, Hell's Kitchen, Lower Manhattan) and Month (Jan – Jun), allowing users to drill down into specific performance metrics effortlessly.
Key Insights Derived:
Instant visibility into high-margin product categories vs. volume drivers.
Clear comparative analysis between store locations over time.
Data-backed foundation for inventory management, pricing strategies, and store-level optimization.
Tools Used: Microsoft Excel (Pivot Tables, Advanced Formulas, Slicers, Data Visualization, Dashboard Design).*
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