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Pizza Sales Analysis Using SQL

Ojective

To conduct a comprehensive analysis of pizza sales data using SQL queries to uncover key insights and trends, and to provide actionable recommendations to increase sales and drive business growth.

  • Specifically, this project aims to
  1. Analyze sales trends and patterns to identify opportunities for growth- Identify top-selling pizza types, sizes, and categories to inform menu engineering and marketing strategies.

  2. Determine the distribution of orders by hour, day, and month to optimize staffing and inventory management- Calculate revenue contribution by pizza type and category to identify areas for improvement.

  3. Develop data-driven insights to support business decisions and drive growth in the pizza industry.

Technology

logo

Key Insights

  • The total number of orders placed so far 21350

  • The total revenue generated from pizza sales : 817860.05

  • Highest priced pizza is “Greek pizza”

  • The most common pizza size ordered is “L”

  • The classic deluxe pizza, barbecue chicken pizza, the Hawaiian pizza are top 3 most ordered pizza

  • The most ordered pizza category by quantity is Classic followed by Supreme

  • Busiest hours for sales : 12:00 TO 8:00 PM

  • The average number of pizzas ordered per day : 138

  • The top 3 most ordered pizza types based on revenue are the Thai chicken pizza, the Barbecue chicken pizza and the California chicken pizza

  • The percentage contribution of each pizza type to total revenue is classic(27%),supreme(25%) ,chicken(24%) and veggie(23%)

Overall Impact

Total Revenue Growth: Implementing all strategies effectively could result in an estimated 20-30% increase in revenue.

Total Sales Increment: This could translate to approximately 10,000-12,000 additional orders annually.

Connect us

If you found this presentation helpful and would like to connect for more insights, please feel free to connect me on LinkedIn

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