Chapter 1194 Monthly Sales Ranking of Automobile Companies

After attending the annual meeting of entrepreneurs, Chen Changliu did not return to Yangcheng immediately, but went to the Jiangcheng Research Center under construction as planned.

Then he went to Luzhou and Shudu to see the factory of the automobile industry subsidiary, which may have to be expanded next year.

Nowadays, the monthly sales of the automobile industry subsidiary of Zhonghuajia are not low. Last month, it was ranked in the top ten in the monthly sales ranking of car companies.

Pure electric buses are the least, with only more than 4,000 units a year, which means about 400 units a month.

However, the monthly order volume of pure electric taxis to be delivered is more than 3,000 units, plus about 20,000 units of Mini, the delivery volume of Qin plug-in hybrid series is 6,000-7,000 units, and Song is stable at around 6,000 units.

In other words, the monthly sales of the automobile industry subsidiary have exceeded 36,000 units.

It is precisely because of this sales volume that it exceeds the 31,000 units of Mouchen and the 30,000 units of Mouli, ranking 9th in the monthly sales ranking of car companies in November.

As for CC, which is very ambitious and hot-tempered, it ranks 16th and 7th with a monthly sales volume of 18,000 units, which is not as good as Hafei. However, it is estimated that the profit is higher than Hafei.

Ahead of Zhonghuajia is the 7th-ranked Rui, with a monthly sales volume of 42,000 units, and the 8th-ranked Didi, with a monthly sales volume of 38,000 units.

It is estimated that Didi is trembling now, and may be surpassed by Zhonghuajia accidentally.

You should know that although Zhonghuajia has acquired the Jingjiang Dayu factory for 3 years, its products have only been online for less than a year and a half.

But the car company that has only been online for a year and a half has already entered the top ten of the car company sales rankings, which is why Zhonghuajia is regarded as a thorn in the eye by other car companies.

Although more than half of the sales are contributed by the mini model with an average price of more than 30,000 yuan, so what, ranking ninth is ranking ninth.

Other car companies have also launched pure electric micro cars in the past year, but they still cannot have any impact on Mini.

Moreover, Qin and Song have already established themselves. Judging from the feedback from car owners, they have a good reputation.

Fashion, technology, strong power, good quietness, low fuel consumption and low maintenance costs have become their labels.

Although the current scale of several factories has not yet reached full-load production, it is already 80% of the full-load capacity set when the factory was built.

If the sales of Qin and Song have a certain breakthrough in the next stage, or new models of Zhonghuajia are launched, the production lines of several factories in the existing sections will not be enough.

So Chen Yanfeng has already made a report and is preparing to carry out the second phase expansion plan for several factories.

When the factory was built, Chen Changliu had already formulated a step-by-step plan for phases 1 to 4. When the construction of phase 4 was completed, the full-load production of the four factories could reach a monthly output of 100,000 to 120,000.

...........

The last stop, the big data and cloud computing center in Qiandongnan, represents the basis for Zhonghuajia's future competitiveness.

This year's Bluebird and Suzaku already have big data and cloud computing centers, which has led to further improvements in the fluency of the system after the two mobile phones were launched, widening the gap with other mobile phone manufacturers and gaining good user reputation.

"Boss, the big data center and cloud computing center are really powerful in system optimization and resource management.

The big data center collects a large amount of user usage data, including user operating habits, common application scenarios, system resource usage, etc.

By analyzing these data, we can deeply understand user behavior patterns and then optimize the system in a targeted manner.

For example, we found that users have high demands for memory and processors in certain specific scenarios. We optimized the system's resource allocation strategy in this scenario, giving priority to the operation of key applications, thereby improving the smoothness of the system.

In an analysis based on big data, we use the powerful computing power of cloud computing to make intelligent predictions.

For example, predict the application that the user may use next, and load part of the data of the related application into the memory in advance, so that when the user opens the application, it can respond quickly, reduce waiting time, and bring users a smooth user experience........."

While Wu Bo took Chen Changliu to check the center, he excitedly analyzed with Chen Changliu the most basic capabilities of the cloud computing center and the big data center for mobile phones.

In the past six months, he, the dean of the Central Research Institute, has also served as the head of the Big Data and Cloud Computing Center. The time he has spent here is almost as much as staying in the Central Research Institute.

Because according to some scenarios of application in mobile phone products proposed by Chen Changliu when building big data center and cloud computing center, it did bring unexpected results, which made Wu Bo overjoyed.

Nowadays, mobile phone hardware is very important, but in fact, in Wu Bo's view, the importance of operating system is no less than that of hardware system.

Watching Wu Bo excitedly expounding on these things that he has said to him for the nth time, Chen Changliu will not be impatient.

When he first opened his mouth to spend 10 billion or 20 billion to build big data center and cloud computing center, although Wu Bo would not object, it is obvious that he did not attach enough importance to it.

But now he does not need to remind himself, he attaches importance to it.

"The cloud computing center can provide network acceleration services for mobile phones.

By optimizing network data in the cloud, such as data compression and traffic scheduling, the network transmission speed and stability can be improved.

Especially in the case of poor network environment, the network acceleration function of cloud computing can effectively reduce the delay and packet loss rate of data transmission, allowing users to surf the Internet, download files, watch videos and other scenes with mobile phones more smoothly.

But boss, I need to apply for more funds from the head office, not only to improve the computing power of the cloud computing center, but also to improve the storage capacity to a higher level.

In this way, when users submit requests for data analysis, image rendering, etc., the task processing speed and response speed can be accelerated.

Then we can push it to the market and provide infrastructure as a service, platform as a service, and software as a service to individuals or enterprises.

It can also provide data storage and backup, data analysis, data trading services, etc. for enterprises.

At that time, the big data center and cloud computing center will not rely on the funding of the head office, and can continue to build while providing revenue and profits to the head office. "

Looking at Wu Bo who was getting more and more excited, Chen Changliu couldn't help laughing.

PS: The typos will be corrected later.