Topic: 2025 Sustainable Global Leaders Conference & First Green Industry and Sustainable Consumption Expo The 2025 Sustainable Global Leaders Conference is taking place from October 16 to 18 in the Shanghai Expo Park, Huangpu District.
The conference is co-organized by the World Green Design Organization (WGDO) and SINA Corp, with collaboration from the IFRS Foundation’s Beijing office. The event is hosted with the support of the People's Government of Huangpu District, Shanghai.
Calvin Tsang, Chairman of Yeeda China Holdings Limited, attended the conference and spoke at the forum on "Building a Smart, Green, and Responsible Supply Chain Ecosystem."
During the interactive session, the moderator, Niu Zhiqing, Vice President of Cainiao Group, posed a question: “There is no doubt that the hottest topic globally is the changes driven by AI technology. In the realm of smart manufacturing at Yeeda, how do you plan to explore implementing this in a smart and green factory? Do you have any specific plans?”
Calvin Tsang responded, stating that the field of artificial intelligence has been employed in their industry for quite a long time. Their company is conducting research in this area due in large part to “pressuring” circumstances, primarily cost considerations. With the aging labor population, while young people may be unemployed, they are often unwilling to work in factories.
He provided a few examples: fabric inspection, which is necessary to avoid any defects while cutting patterns. In the past, this was done manually, but now technology, particularly imaging technology, is being used for comparison. More recently, AI is being utilized for this purpose. The benefit of using AI is that once the process is complete, all relevant data can accompany the fabric to the garment factory. The arrangement of pieces can then be automated directly through the system in this process.
Hence, there are many such applications in this regard. Moving forward, the use of AI in the industry will undoubtedly increase, but it will not replace human efforts. We aim to simplify 80% of our work with AI, assisting us in making consistent decisions, but ultimately, the final output will still be produced by us.