Welcome to "Decoding Delivery Dynamics: The Art of Estimating Swiggy's Daily Deluge." In this project, I embarked on a fascinating journey to unravel the mysteries behind the daily ordering trends on Swiggy, one of the leading food delivery platforms.

Objective: The primary goal of this project was to employ strategic guesstimation techniques to estimate the number of orders placed on Swiggy during a typical weekday. This endeavor involved a blend of data analysis, logical reasoning, and an understanding of the dynamics influencing food delivery services.

Approach: I approached the challenge by breaking down the problem into manageable components, considering factors such as geographic location, time of day, and user behavior. Leveraging available information and making informed assumptions, I constructed a comprehensive model to estimate Swiggy's daily order volume.

Learnings: Through this project, I gained valuable insights into the complexities of the food delivery industry, honed my analytical skills, and developed a deeper understanding of how user behavior and external factors contribute to the daily deluge of orders. Additionally, I enhanced my ability to think critically in a data-driven context, crucial for making informed estimations.

Key Takeaways:

• Understanding the nuances of guesstimation in real-world scenarios.
• Analyzing the impact of various factors on daily order volumes.
• Applying strategic thinking to estimate outcomes in the absence of precise data.

Explore the slides to uncover the artistry behind the estimation process and delve into the intricate world of delivery dynamics on Swiggy. Join me in decoding the daily deluge that keeps the wheels of this culinary juggernaut turning.