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Monday Coffee Expansion SQL Project

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Objective

The goal of this project is to analyze the sales data of Monday Coffee, a company that has been selling its products online since January 2023, and to recommend the top three major cities in India for opening new coffee shop locations based on consumer demand and sales performance.

Key Questions

  1. Coffee Consumers Count
    How many people in each city are estimated to consume coffee, given that 25% of the population does?

  2. Total Revenue from Coffee Sales
    What is the total revenue generated from coffee sales across all cities in the last quarter of 2023?

  3. Sales Count for Each Product
    How many units of each coffee product have been sold?

  4. Average Sales Amount per City
    What is the average sales amount per customer in each city?

  5. City Population and Coffee Consumers
    Provide a list of cities along with their populations and estimated coffee consumers.

  6. Top Selling Products by City
    What are the top 3 selling products in each city based on sales volume?

  7. Customer Segmentation by City
    How many unique customers are there in each city who have purchased coffee products?

  8. Average Sale vs Rent
    Find each city and their average sale per customer and avg rent per customer

  9. Monthly Sales Growth
    Sales growth rate: Calculate the percentage growth (or decline) in sales over different time periods (monthly).

  10. Market Potential Analysis
    Identify top 3 city based on highest sales, return city name, total sale, total rent, total customers, estimated coffee consumer

Recommendations

After analyzing the data, the recommended top three cities for new store openings are:

City 1: Pune

  1. Average rent per customer is very low.
  2. Highest total revenue.
  3. Average sales per customer is also high.

City 2: Delhi

  1. Highest estimated coffee consumers at 7.7 million.
  2. Highest total number of customers, which is 68.
  3. Average rent per customer is 330 (still under 500).

City 3: Jaipur

  1. Highest number of customers, which is 69.
  2. Average rent per customer is very low at 156.
  3. Average sales per customer is better at 11.6k.

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