Orbitz Hotel roomsHotel room Orbitz
There is a worrying trend in Americans to share all kinds of personally identifiable information with virtually every website that has a voucher number dangling in front of it. It doesn't bother us if businesses collect our personally identifiable information, then cut and dice it to make a sale. However, what if businesses use these apparently small things to bill us more for the same goods and service?
Orbitz is reported to be at an early stage of his experiments. He cites a head of the firm who says that the site will not show exactly the same room two different clients at different rates, but that's a small comforter. Any Mac users who are looking for accommodation and receive information about an upgrade room or apartment probably believe that it is all that is available for their itinerary.
In the meantime, a Windows users could perform the same query and get results for less costly default rooms. He told the Journal that Mac clients are booking the more costly hotel rooms anyway. However, shouldn't it be left to the consumers, not Orbitz, to cut a few dollars on a particular journey and put them in a cheap room?
For years, both carriers and hotel operators have been adjusting their fares to meet offer and request, making it less expensive to go to Phoenix in August or the Jersey Shore in February. This is not by nature false, although Coca-Cola's tests in the latter 1990s of automatic vendors that were charging more than the heat caused a counter-reaction from consumers, prompting the business to give up the notion.
Travellers should not be made to believe that they get the best offer when in fact they only get the best offer that the business gives them on the basis of who they are, what they own or where they buy. Much of this information is already available to businesses as we are willing to share it and some technological businesses produce amazingly precise compound images of us.
The company classifying system classifies the persons according to their behaviour in one of 70 detailled sub-categories. It concentrates on the most frequent use of such information, such as mailing specific vouchers and the like to customers on the basis of their surfing patterns. However, as the Orbitz example shows, this is not the only way to use this information.
If this type of information is used to forecast risks, then it becomes really risky.