Estimation question

Estimate the sale of colored TVs in Flipkart during diwali.

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What this question tests

Whether you can build a bottom-up estimate accounting for a seasonal demand spike, not just average sales.

Clarify scope: color TV unit sales specifically through Flipkart during the Diwali sale period, not the full festive season.
Estimate the addressable online shopper base in India and the share likely to buy a TV during a major sale event.
Estimate Flipkart's market share of online electronics sales in India versus competitors like Amazon, to scope Flipkart specifically.
State a seasonal multiplier assumption, since Diwali sales see demand spike several times above a normal month for big-ticket electronics.
Multiply the addressable base by purchase likelihood and Flipkart's share to reach a unit sales estimate for the period.
Present the result as a range and flag the seasonal multiplier as the most sensitive, least certain assumption.

Explicitly separates normal-month demand from the Diwali spike using a stated multiplier, rather than estimating flat annual average demand.
States Flipkart's market share assumption clearly instead of estimating total India-wide TV sales without narrowing to one platform.
Uses a labeled bottom-up chain, addressable shoppers times purchase rate times platform share, rather than guessing a final number.
Flags the seasonal multiplier as the most uncertain input, since it's the hardest number to know precisely.

Estimating using average monthly sales without accounting for the Diwali demand spike at all.
Estimating total India TV sales without narrowing the answer down to Flipkart's specific share.

How would you validate your seasonal multiplier assumption with any available data?
How would this estimate change for a lower-priced TV segment versus premium TVs?