Classic estimation question, but I fumbled the structure a bit.
Break the problem into a top-down estimation: start with the global population, segment by addressable markets, then estimate daily orders per market based on penetration, order frequency, and Uber Eats' market share. Use round numbers and sanity-check with known benchmarks (e.g., Uber Eats' reported gross bookings or orders in a key market).
Pro tip: Anchor your estimate to a known data point (e.g., Uber Eats does ~1M orders/day in the US) and scale globally using population and penetration ratios, showing you can leverage existing knowledge to validate assumptions.
Confirm what 'deliveries' means (completed orders) and whether we're estimating for a typical day. State that you'll focus on Uber Eats' current operational markets.
Divide the world into regions (e.g., North America, Europe, Asia-Pacific, Latin America, Middle East & Africa) and estimate the population in each that is urban, smartphone-enabled, and has access to food delivery.
For each region, estimate the percentage of the addressable population that uses food delivery apps regularly and the average number of orders per user per day (or week).
Estimate Uber Eats' share of the food delivery market in each region, considering competition (e.g., DoorDash, Deliveroo, local players).
Multiply population × penetration × frequency × market share to get daily orders per region, sum globally, and validate against known benchmarks (e.g., Uber Eats' reported ~$50B annual gross bookings).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.