Estimate Uber Eats daily delivery volume from users and order frequency

Estimate how many deliveries Uber Eats completes on an average day. ```hint Build it from people Fix the geography first, then work from how many people order food delivery and how often different kinds of users order, instead of guessing one average for everyone. ``` ### Clarifying Questions - Should the estimate cover Uber Eats worldwide, or only one country such as the US? - Do grocery, convenience and alcohol orders count, or only restaurant meals? - Should pickup orders count, or only orders a courier brings to the customer? - Do you want an average day, or a peak day such as a Friday night? ### What a Strong Answer Covers - A clear definition of a delivery and of the geography before any numbers - A structured equation (population, delivery-app adoption, ordering frequency by segment, Uber Eats share of orders) with every input labeled as an assumption - Arithmetic that is easy to follow, with round numbers and units carried through each step - At least one independent cross-check, such as courier capacity or a revenue-scale figure, and what to revisit if the checks disagree - Awareness of what moves the number: weekday versus weekend, people who use several delivery apps, and market share that differs by country ### Follow-up Questions - How many couriers would Uber Eats need on the road at the Friday dinner peak to handle this volume? - Which single assumption is your estimate most sensitive to, and how would you check it quickly? - How would the number differ for a dense city compared with a suburban region?