Estimate daily active demand for a Ecommerce-style ecommerce-marketplace product in one major Indian city

Problem Statement Description

You are estimating the daily active demand for an ecommerce marketplace in one major Indian city, such as Bengaluru, Mumbai, Delhi NCR, Hyderabad, Chennai, or Pune. The marketplace supports product discovery, search, recommendations, seller listings, payments, checkout, delivery, and returns across multiple categories.

For this guesstimate, focus on demand from consumers who may browse, add to cart, or purchase on a given day, with particular attention to first-time buyers and their likelihood of converting. You are not expected to know the exact company numbers; the task is to build a clear, defensible estimation approach using reasonable assumptions.

Your estimate should define what “daily active demand” means before calculating it. For example, you may choose to estimate daily active shoppers, daily purchase-intent users, daily orders, or gross demand value, but you should make the unit explicit and keep the scope consistent throughout.

The experience should consider:

- The city scope, population base, internet/smartphone access, and addressable ecommerce audience

- Relevant user segments such as existing online shoppers, first-time buyers, occasional buyers, and high-frequency buyers

- Category mix and purchase frequency across essentials, fashion, electronics, beauty, home goods, and other marketplace categories

- The distinction between browsing demand, add-to-cart demand, checkout intent, and completed purchase demand

- Conversion assumptions affected by trust, seller quality, catalog depth, pricing, delivery promise, returns, and payment reliability

- Daily demand variation from weekdays, weekends, salary cycles, festivals, sales events, and seasonality

- Sensitivity of the estimate to key assumptions such as ecommerce penetration, purchase frequency, and conversion rate

- Sanity checks using comparable offline retail behavior, app usage frequency, delivery capacity, or order density per household

The goal is to produce a structured, transparent estimate that a product leader could use to reason about marketplace scale, acquisition opportunity, checkout conversion potential, and operational readiness in a major Indian city.