In recent years, big data and AI skills have become popular words in various industries. If you don't understand these words when chatting outside, it seems that you have left the era behind; Big data in various professions has become a must-have for enterprises, but since entering the shipping and logistics industry, it seems to have entered the Peach Blossom Land. 'Ask what world it is today, but I don't know if there is big data. Regardless of AI, there are people saying that it's not enough for outsiders? Has my Qing Dynasty fallen?

The Current Situation of Domestic Trade Shipping Industry and Big Data Era

All industries are fighting in the era of big data, and the shipping industry is still stuck in the 'pre channel era'. Most enterprises have not even imagined the digital process within the enterprise, and the internal data chain has not been integrated, let alone external affairs. Up to now, most domestic trade shipping enterprises have not even built their own tracking channels, and data is still stuck on paper or internal computers. More data transmission methods still rely on instant messaging or phone calls. Domestic shipping companies are very involved, and their unwillingness to keep up with the times directly affects the backwardness of the entire profession.

The Era of Big Data and the Future of Domestic Shipping Industry

The big data era of domestic trade shipping industry refers to the process of automation, informatization, and intelligence.

The foundation is the digitalization of enterprises. So, the 'data revolution' of the shipping industry began with the digitization of enterprises themselves, including the digitization of internal management and the digitization of external services.

More specifically, it is as follows: placing booking on internet channels for transactions, accumulating a large amount of transaction data, using this data as input for financial credit, and providing financial services to small and medium-sized freight forwarding companies and shipping companies; Some use big data methods to establish online ship value estimation service channels, which not only introduce variables from ship basic data, but also consider the impact of factors such as ship dynamic operation on ship value; In terms of data mining value, such as measuring the prosperity of the shipping market and measuring changes in a certain route's freight rate; In terms of new investment timing, in addition to the big data industry itself, it is more about bringing investment timing that can be understood through the use of this tool, such as predicting the mid-term price trend of the shipping market, which is much more useful than traditional analysis methods.

That is to say, promoting big data in the shipping industry can improve work efficiency, but why do most companies not want to promote it? It is mainly because certain areas cannot be touched or dare not be touched.