Estimate the annual market size for food delivery group ordering among office lunch coordinators

Problem Statement Description

Swiggy is evaluating the opportunity in food delivery group ordering for office lunches, where a workplace admin, team assistant, HR/ops member, or informal “lunch coordinator” places recurring orders for multiple colleagues. Your task is to estimate the annual market size for this use case in India.

Focus on the office lunch workflow: identifying eligible workplaces, estimating how many have a coordinator-led ordering pattern, how often group lunches are ordered, how many people participate per order, and the typical order value. The estimate should be practical for a food-delivery marketplace where repeat behavior, restaurant reliability, delivery batching, and workplace routines all affect adoption.

You may size the opportunity as annual GMV, annual revenue potential, number of orders, or a clearly stated combination, but you should define the unit upfront. Make reasonable assumptions, segment where useful, and show how the estimate could inform whether Swiggy should invest further in group-ordering capabilities for offices.

The experience should consider:

- Scope: Indian urban office lunch ordering through food delivery platforms, not all corporate catering or cafeteria meals unless explicitly included.

- Population: number of relevant office workers, workplaces, or coordinators, with clear inclusion/exclusion criteria.

- Adoption: share of offices or workers likely to use coordinator-led group ordering versus individual ordering, cafeteria food, packed lunch, or dine-out.

- Frequency: working days, lunch-ordering frequency, recurring team lunches, and seasonality or hybrid-work effects.

- Order economics: average group size, average ticket size per person, delivery fees, discounts, and whether market size is GMV or net revenue.

- Sensitivity: key assumptions that most affect the estimate, such as metro penetration, hybrid-office attendance, and repeat ordering frequency.

- Sanity checks: comparison against known food-delivery usage patterns, office populations, and operational constraints like lunch peak capacity.

The goal is to produce a structured, defensible estimate that helps Swiggy understand the scale and attractiveness of office lunch group ordering, along with the assumptions and uncertainties that would matter most before making a product or business investment decision.