Coffee Shop Sales Analysis

Aditya Tanwar

Data Visualizer
Business Analyst
Data Analyst
Microsoft Power BI
pandas
SQL

Coffee Shop Sales Analysis

Analyzed sales data to identify trends in coffee types, payment methods, and sales patterns across different days of the week. This project provided insights to optimize sales strategies and improve business performance.

Project Analysis

I explored sales data to uncover trends and patterns in coffee sales. The analysis provided insights into the differences in sales among various types of coffee, highlighting which products were most popular. Additionally, it examined payment methods and the amounts received, identifying preferences among customers. Sales data across different days of the week revealed peak times and slower periods, allowing for better staffing and inventory decisions. These insights help in optimizing sales strategies and improving overall business performance.

Organize management on daily basis

Sales Performance by Coffee Type: The dashboard displays sales figures for different types of coffee, highlighting which products are most popular. This allows the coffee shop to understand customer preferences and optimize their product offerings.
Sales Trends by Day of the Week: The dashboard shows sales performance across different days of the week, identifying peak times and slower periods. This insight is crucial for effective staffing and inventory management, ensuring that resources are allocated efficiently.

Power BI Dashboard

The insights provided by this dashboard have significant impacts:​
1. Optimizing Product Offerings: By understanding which coffee types are most popular, the coffee shop can focus on stocking and promoting these products, potentially increasing sales and customer satisfaction.
2. Improving Payment Processes: Analyzing payment methods helps the coffee shop streamline the payment process, making it more convenient for customers and potentially reducing transaction times.
3. Efficient Resource Allocation: Identifying peak sales times and slower periods enables the coffee shop to schedule staff more effectively and manage inventory better, reducing costs and improving service levels.
4. Data-Driven Decision Making: The comprehensive visualizations and insights from the dashboard support informed decision-making, helping the coffee shop implement strategies that enhance overall business performance.
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