Airbnb's Smart Pricing recommends prices to hosts. Considers demand, seasonality, comparables, events. Hosts opt in; adoption changes revenue meaningfully.
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Feature extraction
Location, listing attributes, comparable listings, historical bookings, seasonality, day of week.
Feature extraction
Location, listing attributes, comparable listings, historical bookings, seasonality, day of week.
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Demand model
Predicts booking probability per night at various price points. Gradient boosted trees + neural nets ensemble.
Price elasticity
How demand changes with price. Different in NYC vs Bali. Model learns per market.
Event awareness
Local events (concerts, conferences, sports) spike demand. Model detects + adjusts.
Host opt-in
Not automatic. Host sees suggested price + accepts. Trust built over time as hosts see revenue lift.
ML pricing is standard e-commerce move applied to lodging. Airbnb's edge: massive dataset + local awareness.