Big Data Coming From Supply Side Reform Of Cotton Industry

There has been more than a month since the launch of the national cotton store. The price of cotton has continued to rise. Cotton prices remain high. Up to now, the single day turnover rate has remained above 97% except the single day turnover rate in May 30th. The highest paction price has been as high as 14350 yuan / ton. 90%.

However, at the beginning of this year, the cotton market is not such a scene: many cotton on the market are unattended, many people in the industry say that the market is bad, sometimes they can not do business at a loss.

Now, we have guessed that it is the national cotton store that has activated the whole market. But recall that last year, the auction of national cotton store was far less prosperous than it is now: the cumulative turnover (more than 60 thousand tons) accounted for only about 6.34% of the total volume of the total output (about 1000000 tons), and the result was very miserable.

The same is the cotton market, the same is the national cotton reserves, the contrast is so big before and after, many people can not help worrying, market volatility really can not predict, can not control it?

Cotton market fluctuation is so big, where is the problem? I believe that the main reason is that the current cotton trade generally adopts a more traditional mode of operation: pactions are always based on more subjective judgments, and resource information can not be widely circulated.

With the market itself fluctuating, this way is obviously unable to meet the current consumption demand.

From the point of view of dealers, both sides of the paction need to spend a lot of time and cost to find goods and negotiate. In the process of pportation, they need to take a lot of risks, and the scope of selection is very limited.

From a market point of view, this actually causes the waste of resources such as personnel, capital, time and materials in the whole industry: every paction needs to repeat the lengthy process; the resources and experience gained by each paction can not be fully spread and shared throughout the industry; the time and cost of the exchange will always be squeezed out for risk control, and often it will not have much effect.

In the final analysis, there are various uncertainties in the paction process: unable to understand the market situation in real time, unable to get resource information at any time, and unable to grasp the partners and their cargo information as soon as possible.

If the cotton industry also has professional big data analysis, and actively promote supply.

The problem of information opaque and resource sharing will be greatly improved.

For example, cotton Zhuang, as an Internet company based on the B2B business platform for cotton, is positioned to serve the cotton trade, and has been trying hard to build a big data system in the cotton industry.

Relying on the existing platform (including the Web terminal and the APP side), Mian Zhuang striving to expand the sources of information, integrate all the existing resources, cut through the demand point for users to choose, and constantly improve the data analysis and comparison function, so as to provide the most intuitive criteria for the selection of goods.

In addition, located in the cotton trading service platform, Mian Zhuang will make a strict distinction between inquiries and paction functions.

Shelves are listed with accurate and marketable stock, while resource search covers all sources, and quality reports can be queried anytime, anywhere.

Through multi-dimensional data analysis, cotton Zhuang is gradually approaching the big data of the industry, providing data reference for all participants in the cotton industry chain, so as to make the supply side reform of cotton industry possible.

Internet based big data is a

The sum of information comes from countless channels, and is abstracted as effective information before it can be used by the industry.

Its core value lies in its ability to store and analyze large amounts of data quickly and efficiently.

Compared with other technologies, the three advantages of big data "cheap, rapid and optimized" are the most obvious.

Therefore, whether it is for Internet Co or the whole industry, the fast grasp of big data technology has become a winning strategy.

Big data is technology, and supply side reform is a business mode.

The predicament faced by China's economy is very difficult to break through only from the demand side. Therefore, structural reform is the combination of supply side and demand side.

Improving the quality of supply, optimizing the allocation of resources, expanding effective supply, and adapting the supply side to the demand side to improve total factor productivity are the ultimate goal of all industries.

If the cotton industry also has professional big data analysis, and effective supply side reform, capacity upgrading, inventory, supply and demand docking can be achieved.

As a result, cotton production, trading and consumption can be efficiently run: cotton growers will grow cotton according to the most scientific demand data; buyers and sellers will trade at the right time, at the most reasonable price and the most suitable target.

The efficiency of each link has been improved, and the utilization rate of resources has also increased.

As a result, supply and demand, zero inventory will no longer be empty talk.