Hotel night-pricing model
A price for every night, with the reason attached.
The situation
Hotels pricing future nights from one blended number, blind to what a holiday, a long weekend or a surge in short-let supply did to the same dates in prior years.
How it works
Three inputs
live rates from a comp set of about a dozen properties matched on star rating, across the channels the hotel distributes on, every rate a timestamped row; Airbnb inventory in the same band where the owner opts in; five years of the market's own prices with every date flagged for weekend, holiday, week of year and season.
Recommend
a price per night up to 180 days out, refreshed on schedule, shipped with current versus recommended, a confidence score, a short narrative and attribution per driver.
Apply
strategy is configurable per property, dynamic rules (a percentage off the comp set with thresholds) or static, and the accepted price is pushed straight back to the hotel's system.
Outcome
180 days of nightly prices · 6 markets live · every recommendation explains itself.
Hardest part
There is no standard that classifies rooms across hotels, so matching a room to its true competitors is where the real engineering went. No automated mapping was reliable enough to price against, so in the end hotel owners categorise their own rooms and their competitors' rooms inside the platform. A manual step, but the only one accurate enough when a wrong match means a wrong price.
See how this maps to your business.
walk through this build · no obligation