This question is actually a typical one, which involves? Market classification? The problem.

that is to say, maybe we should match a more suitable rider according to the buyer behind the corresponding order and its big data; Of course, this kind of matching also includes the effective matching for the rider's vehicle, the restaurant and even the price.

it should be pointed out that this kind of? Market classification? 、? Market cutting? , will not significantly affect the efficiency of our market operation;

on the contrary, it will bring positive help to our customers' consumption activities and suppliers' business activities.

as long as we can keep the market size after classification above a certain low value, then the market mechanism can still play its role, and as an effective competitive market, it can help to improve the production efficiency and productivity of commodities.

a similar grading mechanism has actually appeared in hotels, restaurants and other fields? Is it imminent? .

for example, improper chef configuration is likely to bring food loss to some high-end restaurants? Although this kind of loss often only occurs in the cooking process, the number is relatively limited.

For another example, improper hotel attendants may bring all kinds of troubles to our in-house customers, from indoor hygiene to manual service.

Perhaps, from the overall market situation, the cost of a certain type of post in a certain industry is only at a very low level; However, after market classification, the labor cost of the same job in the same industry can be set to another higher value through flexible and variable prices.

Of course, in the era of big data, we have more convenient conditions to classify the market:

It is no longer limited to traditional prices (such as price tag of goods and services, post salary, etc.);

and you can use it? Make a multi-dimensional and three-dimensional evaluation of people's professional content? To achieve.

actually, this has always been mentioned in many previous answering articles. Without exception, many Internet platforms will eventually evolve into community platforms? The reason.