A.I.-based travel app Hopper expands price monitoring to hotels worldwide

TechCrunch | 6/20/2019 | Staff
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Hopper, the handy travel app that uses A.I. to predict airfare pricing, is today expanding its service to include hotels. Like airfare, hotel pricing is also dynamic — it can fluctuate with traveler demand. During busy times, prices are higher. And when a hotel has rooms to fill, the prices drop. Now, Hopper is bringing its same prediction technology to over 270,000 hotels in more than 200 countries and territories worldwide.

The hotels, which can be booked directly within the Hopper app itself, span 1,600 major cities.

Company - Hotel - Prediction - October - New

The company first began testing hotel prediction algorithms back in October 2017, but only in New York. At the time, Hopper CEO Frederic Lalonde explained how online hotel booking differed from airfare. With plane tickets, people are usually just in search of the best price. But with hotels, other factors come into play.

That’s why the new feature lets travelers narrow searches not only by city, but also by neighborhood and points of interest. Hotels can additionally be filtered by the neighborhood, rating, price and their amenities.

Hopper - People - Book - Time - Night

Hopper says people who book at the right time will save $62 per night, on average, off of the peak rates. But when people go shopping for hotels, they usually only spot check prices or wait until the last minute to book. To get a better deal, the company suggests you set the app to monitor hotel prices and send push notifications when the hotel prices drop or when private rates become available.

These private rates can include package deals, member rates, geofenced rates, closed user rates, pre-purchased inventory blocks, and more. Most people don’t know if these sort of rates are available to them, or if they would qualify. Hoppers says it will monitor these private rates,...
(Excerpt) Read more at: TechCrunch
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