This project is designed to uncover valuable insights into sales trends, customer behavior, and product performance.
The analysis makes use of two primary datasets:
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Sales Transaction Dataset:
- Contains detailed information about each sales transaction.
- Includes customer ID, product ID, quantity purchased, transaction date, and total amount spent.
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Product Information Dataset:
- Includes product category, product description, and product price.
The analysis is structured around key aspects of the business:
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Total Amount Spent by Customer: Analyzes the total amount spent by each customer to identify high-value customers.
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Frequency of Customer Visiting Restaurant: Examines the frequency of customer visits to understand customer loyalty patterns.
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Total Amount Spent by Each Food Category: Categorizes sales based on food categories to identify popular and less popular items.
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Total Amount of Sales in Each Month: Analyzes monthly sales trends to identify seasonal patterns and peak sales periods.
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Yearly Sales: Investigates annual sales trends to assess year-over-year growth and identify growth opportunities.
- How Many Times Each Product Purchased: Determines the popularity of each product based on purchase frequency.
- Total Sales By Each Country: Analyzes sales distribution across different countries to identify key markets.
- Total Sales by Order Source: Examines sales trends based on order sources (online, in-store, mobile app) to optimize marketing strategies.
Visualize the key insights obtained from the analysis questions on the Sales Analysis Dashboard.
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