COFFEE SHOP SALES POWERBI DASHBOARD

 

Introduction

This Power BI dashboard provides a detailed analysis of sales data from a coffee shop, covering metrics such as total sales, quantity sold, product popularity, and sales trends. By exploring these metrics, the dashboard uncovers important insights into customer preferences, high-demand products, and overall sales performance over time.

1. Overall Sales and Quantity Overview

  • The dashboard highlights a total of 214K units sold and 108 billion in sales revenue. These metrics provide a high-level summary of the coffee shop's overall performance.
  • A gauge showing the "Sum of Price and First Category" reflects a mid-range total price value, indicating a balanced distribution of product pricing across categories.

2. Sales Trends Over Time

  • The "Sales by Year, Quarter, Month, and Day" line chart shows a clear upward trend in sales throughout the year, with occasional fluctuations.
  • Peaks in sales volume can be observed during certain months, suggesting periods of higher customer traffic and potential seasonality.
  • Monitoring these trends enables the coffee shop to prepare for busy seasons, ensuring they meet customer demand efficiently.

3. Quantity by Store ID

  • The "QTY by STORE ID" pie chart shows that quantities are distributed relatively evenly across stores, with each contributing approximately 33% to 34% of the total quantity sold.
  • This even distribution implies consistent demand across locations, suggesting that each store is reaching similar levels of customer engagement and sales.

4. Top-Selling Product Types

  • The "Sales by Product Type" bar chart reveals the most popular product types, with Barista Espresso and Brewed Chai Tea topping the list.
  • Other high-demand products include Gourmet Brewed Coffee and Hot Chocolate, indicating a preference for diverse beverages beyond just coffee.
  • This data allows the coffee shop to focus on maintaining inventory for these high-selling items, ensuring they remain in stock during peak hours.

5. Product Details

  • The "Product Detail" section lists specific items such as Almond, Brazilian Regular, Brazilian Large, Cappuccino, and Caramel Syrup. These product variations allow the coffee shop to cater to a wide range of customer tastes and preferences.
  • By understanding the popularity of specific products, the coffee shop can tailor its offerings to meet customer demand effectively.

6. Price Insights by Category

  • The gauge indicating "Sum of Price and First Category" provides insights into pricing trends across different product categories.
  • With a total of 504.34K in this measure, the coffee shop can monitor how price impacts customer choices within each category, helping to determine the optimal pricing strategy to maximize revenue.

Conclusion

The coffee shop sales Power BI dashboard provides an invaluable view of sales trends, product popularity, and store performance. By analyzing these insights, the coffee shop can make data-driven decisions, such as adjusting inventory, refining pricing strategies, and tailoring product offerings. This data-centric approach allows the coffee shop to enhance customer satisfaction, optimize operations, and drive sustained growth.

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