Why are the prices three times different when booking hotels through different channels?

Because hotels are taking advantage of information gaps to deceive consumers.

Now is the era of big data, everyone will have their own personal information. When users' personal information is collected by some companies, some companies will use this information for accreditation. This is the big data acquisitiveness we often mention.

1. Let me first talk about a real case about this matter.

Shanghai once conducted a survey on hotels in the Shanghai area and found that Shanghai hotels have different prices on different software. The prices of some luxury hotels even differ by more than three times. When users book rooms in related hotels through different channels, the hotel prices will change. The booking prices for different users will also be different, and the prices for old customers will be more expensive. This incident triggered discussions among many netizens, who said that they had also encountered the phenomenon of big data killing people.

Second, this will involve big data maturity.

In the data era, companies with good big data management systems will generally develop well, and companies will also carefully use this data to do things that benefit themselves. For the hotel industry, because the profits of the hotel industry are already very high, if the unit price can be further increased, the hotel will make huge profits. It is precisely because hotels know every user's information so well that they use big data to deceive consumers.

3. I think this situation should be managed.

It is not uncommon for big data to kill people, and many consumers have encountered this kind of thing in their lives. It is precisely for this reason that users are very disgusted with such incidents, and the relevant departments also attach great importance to this issue. With the rapid development of all walks of life, I think related industries need to formulate certain price specifications to stabilize price levels in this way. For consumers, consumers will obviously trust more reliable companies rather than those that are slippery.

Generally speaking, these so-called price differences are just due to the familiarity of big data, and it is difficult for such companies to achieve rapid development.