Estimate infrastructure or operational capacity needed for Logistics Platform

Problem Statement Description

Product context: DoorDash is a local commerce and delivery platform; its products include restaurant delivery, DashPass, grocery and retail delivery, merchant tools, and dasher tools.

DoorDash’s Logistics Platform must match incoming consumer orders with available Dashers, coordinate pickups with merchants, track deliveries in real time, and keep the marketplace reliable across food delivery, grocery, and other local commerce use cases. In this guesstimate, you are being asked to estimate the infrastructure or operational capacity required to support that logistics workflow at scale.

Frame the estimate around a concrete capacity question: for example, how many active Dashers, dispatch decisions, location updates, order events, support touchpoints, or backend transactions the platform needs to handle during normal and peak demand. The estimate should reflect marketplace dynamics, including demand spikes around meals, city-level density differences, batching, delivery time expectations, Dasher utilization, and service reliability.

The experience should consider:

- The scope of the estimate: geography, time period, business line, and whether you are estimating technical infrastructure, Dasher supply, or local operations capacity

- The primary unit of capacity, such as active Dashers per hour, deliveries per day, dispatch requests per second, GPS pings, or peak concurrent orders

- The relevant population and demand base, including consumers, merchants, Dashers, order frequency, and peak-hour concentration

- Adoption and frequency assumptions across food delivery, grocery, convenience, and other local commerce categories

- Marketplace constraints such as batching, travel time, pickup wait time, cancellation risk, and Dasher idle time

- Peak-to-average ratios, holiday or weather-driven surges, and city-level variation

- Sensitivity of the estimate to key assumptions like order volume, delivery duration, Dasher utilization, and reliability targets

- Sanity checks against operational realities such as delivery times, earnings, merchant throughput, and unit economics

The goal is to produce a structured, defensible estimate that shows how you break down an ambiguous logistics capacity problem, make reasonable assumptions, identify the biggest drivers, and explain what would change the estimate most materially.