Shulou(Shulou.com)11/24 Report--

Recently, some netizens released a short video on the network and adapted the content about "full load" looking for goods, claiming that the full platform treated drivers in the same place of departure and different places of registration differently, and when searching for the same route, it will deliberately show the low-price return order through big data to drivers who are not at the place of departure, accusing the platform of squeezing drivers through "big data killing ripe".

In view of the above, after internal verification, the clarification statement of the Manchu Group is as follows:

1. The search and recommendation of the truck help platform for the driver to find goods is not only based on the conditions, but also takes into account many factors such as the driver's frequent running route and cargo preference, as well as the source line, the driver's car model, etc., to match more accurately and intelligently. At the same time, due to the limited display location, more popular routes may also be randomly assigned. The purpose of the thousand-person thousand-face display is also for drivers to close the deal better and faster, which is the reason why "different people see different goods on the same line" reflected in the video.

2. However, with full transportation, the truck help platform has never, and will not, treat drivers in different places of registration differently in terms of source prices according to user preference data and algorithms. Taking the "Xinjiang-Hebei" line fed back in the earliest video as an example, after taking the transaction data of drivers registered in Xinjiang and Hebei in the same period on the "Xinjiang-Hebei" two-way line, no significant difference was found in the ton mileage price.

3. We have also tested the actual situation of drivers from different registrations looking for the same route sources in the same location. The recommended sources and ordering seen by drivers are indeed different, mainly because of differences in drivers, models, sources and other factors. However, there is no obvious anomaly in the price of these source orders, let alone the so-called deliberate recommendation of low-price orders for a certain part of drivers.

4. The so-called big data usually uses data algorithms to raise prices in order to maximize profits. From a revenue point of view, there is no need for the full platform to reverse the operation of "big data Kushu" and deliberately lower the order price to some drivers, after all, the platform will be damaged (less technical service charge).

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