Who can represent the future of intelligent manufacturing with unmanned warehouse technology and innovation?

For so many years, we have talked about smart logistics, but do we really understand what it is?

Generally speaking, traditional logistics typically involve very complex application scenarios, such as warehousing, loading and unloading, handling, packaging, distribution and processing, distribution and so on. It is not difficult to find that the management of supply chains based on warehousing is becoming the core of logistics management, because warehousing always appears at the crossroads of logistics links. One big difference between intelligent logistics and traditional logistics lies in the warehousing link- in other words, the progress of intelligent warehousing represents the progress of intelligent logistics.

AGV trolley

In a recent global logistics technology conference, including Jingdong, Ali, and Suning, as well as e-commerce companies, the progress of intelligent logistics was introduced. This logic is easy to understand - e-commerce is the fastest growing and most rapidly expanding industry in recent years, with rapid development of its scale and fragmentation of a large number of orders. Reliance on traditional warehouse management and operation mode is difficult to timely and accurate processing, thus promoting the development of warehouse management to automation, [wisdom].

Who represents the highest level of intelligent logistics in China today, based amr roboticson the actual implementation of intelligent warehousing?

Logistics wisdom is closer to self-built logistics

E-commerce is continuing to be followed, and we are looking forward to seeing how intelligent logistics develops. The first example is Jingdong, which started with its own logistics and gradually improved each link in its logistics to achieve integrated smart logistics. Developing smart logistics is the second goal of Cainiao, which relies on mature logistics companies, data connectivity, and ecological management.

Although these two models have their advantages, self-built logistics is more controllable, but the growth rate will be slightly slower, so in addition to the earliest layout of Jingdong, there are few successful cases in the industry. However, ecological logistics management has the disadvantage of not being good for long-term development when data is scattered across multiple companies' systems.

Providing logistics with additional capabilities, such as embedded in the control and communication modules of logistics robotics, embedded in RFID pallets and totes, and embedded in intelligent shuttles and shelves, is undoubtedly the key to solving the problem of intelligent logistics. Two other yardsticks are followed by artificial intelligence applications, along with two important ones.

Intelligent logistics

In the data space, self-built logistics has more complete data chains, so when the data is used for deep learning, the results are more refined, which is why smart logistics is closer to self-built logistics.

In addition, as far as intelligent logistics is concerned, the technology used to implement it is very diverse, including sensing, automation, positioning tracking, data processing and many other intelligent technologies. In order to create solutions for specific application scenarios, these technical means must be applied.

In recent years, unmanned warehouse automation storage solutions have become more popular because they are highly automated, efficient, and flexible.