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Tools used in this project
Restaurant Food Delivery Analysis

Restaurant Food Delivery Analysis

About this project

FP20 ANALYTICS CHALLENGE 6 " Restaurant Food Delivery Analysis"

we delve into the world of food delivery services, a rapidly evolving market that is shaping the future of the restaurant industry. As more and more people opt for the convenience of having food delivered right to their doorstep, understanding the underlying dynamics of this industry becomes increasingly important.

Task -

Task is to analyze this data and uncover insights that could help improve efficiency, profitability, and customer satisfaction. You will need to interpret the data, identify key trends and patterns, and present your findings in a clear, comprehensive, and compelling way.

While it's encouraged to explore the dataset and come up with unique and innovative KPIs, here are a few potential metrics that participants could consider for our client:

  1. Average Delivery Time: The time it takes from when an order is placed to when it is delivered. This KPI is crucial for measuring the efficiency of the delivery service.
  2. Driver Efficiency: This can be determined by calculating the number of deliveries completed per hour by each driver.
  3. Order Completion Rate: The percentage of orders that are successfully delivered versus those that are refunded. This can be a measure of customer satisfaction and operational efficiency.
  4. Average Tip per Delivery: This can serve as a proxy for customer satisfaction and could be used to reward high-performing drivers.
  5. Peak Ordering Times: Understanding when most orders are placed can help with resource allocation and planning

Thanks,

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