Exploring the Confluence of Logistics and AI: A Deep Dive into the Interview with Megvii （I）

Reporter:?In the field of intelligent logistics, how do you think AI and ChatGPT will drive the development of the whole logistics industry in the future?

Tang Wenbin:?In recent years, a variety of automation solutions have emerged: How to make the storage density higher and warehouse operations more labor-saving? How to make the program more energy efficient and faster implementation? How to better solve the inherent problems of the logistics industry? All of them are what everyone in the industry is constantly exploring.

ChatGPT and other AI technologies continue to develop and will also bring certain scenario changes to the logistics industry.

ChatGPT is a milestone AI product in terms of underlying data, core technology and user experience. From the perspective of intelligence, AI should be able to fully simulate the human brain, which is roughly divided into "perception – decision – execution –feedback + knowledge/memory" modules. The core technology of ChatGPT is the AI language model, and the key is how to make the AI model have the ability of logical reasoning and how to make the AI learn the knowledge of the whole Internet, which ChatGPT has basically done. So, there is a great breakthrough in the link of decision and knowledge.

The arrival of new technologies such as ChatGPT has changed the human-machine interaction model and enables better human-machine interaction by means of dialogue. Previously, automated equipment in the warehouse could only complete simple command-based instructions to move goods from coordinate A to coordinate B. The development of new technologies has enabled how the system can better perceive the tasks that need to be completed in the physical space and be able to form a series of interactive dialogues with the warehouse manager between the system and humans to confirm the tasks and allow for smoother input of system tasks.

Within the warehouse scenario, automated equipment and robotics are gradually replacing manual labor. With the continuous development of technology, within the warehouse in the future, the rest of some decision-making work except equipment related to the maintenance staff may only need a warehouse manager to be able to overall management. Because the system will throw some programs, warehouse managers only need to give feedback and selection of programs. In the mode of technology empowerment and better human-machine interaction, the warehouse can further reduce costs and increase efficiency.

On the one hand, AI technologies such as large language models and visual perception capabilities will make a single robot more efficient and intelligent. On the other hand, it makes human-computer interaction and some online digital decision making more intelligent.

Logistics companies have been constantly seeking a more efficient and cost effective way to manufacture goods and circulate items. As living standards and affluence continue to rise and labor costs become higher, how to convert the demographic dividend into a technological dividend and keep business costs at competitive levels is the key to keeping China as the world's factory.

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