YQN Logistics
Cash Zhou
Founder and CEO
In the logistics industry, emerging technologies such as artificial intelligence, internet of things and blockchain are driving significant innovations. For example, in container shipping, AI demonstrates substantial advantages in cargo tracking and predictive monitoring. By integrating big data, AI provides real-time visibility for container transport, effectively addressing delays or unexpected situations during transit. Additionally, AI can be applied across the entire transport chain, including assessing port congestion and trailer conditions, enabling accurate predictions of transport time and costs.
Today, in the realms of ports and warehousing, technologies such as automated terminals, self-driving unmanned trucks and unmanned cargo ships have been implemented in controlled environments, significantly improving port operational efficiency. However, the application of these technologies in open logistics pathways is still under development. In some large ports and warehouses, automation technology has become standard, allowing routine logistics operations such as document handling, automated sorting, transport and packing to be fully automated. Nonetheless, certain scenarios remain resistant to full automation; for instance, small ports and warehouses face cost and regional constraints that limit automation potential, specialized large cargo presents challenges due to size variability, and customized orders still require manual handling.
