How data and AI can solve a major issue for Chinese manufacturing – timeliness

  • The supply chain disruptions sparked by Covid-19 have forced SME manufacturers to search anew for a business model that is more agile and responsive to fast-changing consumer needs
  • One solution is a cloud-based system that leverages data for critical information, to ensure SMEs make to sell, rather than to stock

Employees work on a production line at the Yangzhou Shuguang Toothbrush Factory in Yangzhou, Jiangsu province, China, on September 21. As export orders started plummeting in March amid the coronavirus’ global spread, the Chinese toothbrush maker turned to the domestic market. With the help of Alibaba Group’s huge trove of data on what Chinese consumers are searching for, the company shifted to making products that became local hits. Photo: Bloomberg
The impact of the global pandemic on small and medium-sized enterprises runs deep, with factory shutdowns, supply chain disruptions and supply shortages in many parts of the world. But for SME manufacturers in China, Covid-19 has given them cause for a rethink about the need for greater agility, less wastage and a more consumer-centric approach.
Such a change is needed to tackle long-standing structural issues in the manufacturing sector. While Covid-19 will pass, fundamental problems in the industry will remain. Addressing them is hugely important. SMEs are the backbone of the global economy – creating jobs, driving trade and fuelling growth. In China, SMEs account for over 80 per cent of urban employment and more than 60 per cent of gross domestic product.
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