When stuck in an unknown city, the last thing a user wants, when searching for hotels, is a long list of about 1000 hotels. When a query is made for hotels in a particular location, the algorithms used by hotels or agencies for their websites and mobile apps are not sophisticated enough to show only the ‘near-by’ hotels. This is indeed frustrating for the user.
New algorithms should be designed to provide targeted results. These algorithms can be modified to include other filters like price and reviews. When a user is searching for hotels from a location he is visiting for the first time, he not only wants the hotels that are closest to his location, but also hotels that have good reviews. Reviews help users make quick decisions about which place to visit. The results should also be in a particular order (which could be done either manually or sorted according to the price, or the one that is nearest, or the one with the best review).
Geo-fencing and customising search results offer much more convenience as opposed to offering a list of ALL the results, which leaves the user overwhelmed. Geo-fencing also allows providing time-sensitive and targeted results. For example, knowing where the traveller is travelling to and which plane he is arriving from. Recommending hotels at this particular time will result in more conversions as the right service was provided to the right person and at the right time!
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