Dominoes Pizza Sales Analysis

Background

The project aimed to enhance Domino's India operations and menu selection.. The database comprises tables for pizza types, pizzas, orders, and order details to facilitate pizza orders and tracking.

Objectives

Implement SQL queries to manage pizza orders, including selecting pizza types, placing orders, and analyzing order data.

Query 1: Daily Customer Count and Peak Hours

  • This query calculates the number of customers each day and identifies peak hours.
  • It can help in understanding daily demand patterns and planning staff schedules accordingly.

Query 2: Average Pizzas per Order and Bestsellers

  • It calculates the average number of pizzas per order, which is essential for inventory management.
  • Identifying bestselling pizzas allows you to focus on popular items and potentially optimize menu offerings.

Query 3: Monthly Revenue and Seasonality

  • This query calculates the revenue for each month of the year.
  • By analyzing monthly revenue, you can identify seasonality in sales and plan promotions or menu changes accordingly.

Query 4: Pizza Sales Analysis

  • This query provides information on the sales of each pizza.
  • It can help in identifying underperforming pizzas that may need to be removed from the menu or promoting top sellers.

Query 5: Average Order Value by Pizza Category

  • It calculates the average order value for each pizza category.
  • This information can be used for pricing strategies and understanding customer preferences.

Query 6: Sales Trends by Day of the Week

  • This query analyzes sales trends based on the day of the week.
  • It can help in optimizing marketing efforts and staffing levels on specific days.