The intelligent logistics equipment track in the textile industry is shifting from solution integration to core equipment self-production. On July 16, Beizi Technology's new factory in Nanxun, Huzhou, officially commenced production, with a total investment of 336 million yuan, the company's largest physical asset investment since its IPO. The construction period of over 600 days, from October 2024 to production, reflects an urgent need for self-controlled production capacity.
Background
The Huzhou base is not a simple capacity expansion but the first time Beizi Technology has incorporated core manufacturing of intelligent logistics equipment into its own system. Previously, industry solutions relied heavily on system integration, with key hardware such as stackers, shuttles, and conveyors sourced externally. By building its own factory, Beizi aims to extend its technological moat from software algorithms to hardware manufacturing, achieving a 'software-hardware integrated' delivery capability.
Notably, Tongkun Group and Jushi Group appeared as customer representatives at the launch event. These two companies are leaders in chemical fiber and fiberglass, respectively, and are among the largest users of logistics automation. Tongkun Executive President Li Shengjun and Jushi President Assistant Liao Xinlin stated they would 'deepen strategic cooperation,' signaling that the intelligent transformation needs of chemical fiber giants are shifting from single equipment procurement to deeply bound joint development with equipment providers.
Industry Impact
For upstream industries like chemical fiber, yarn, and nonwovens, the bottleneck in logistics efficiency often lies not in single-machine speed but in breaks between warehousing, sorting, and distribution. With the Huzhou base operational, Beizi's self-production ratio of core equipment will rise significantly, leading to shorter delivery cycles and faster customization response. For chemical fiber groups like Tongkun, Hengli, and Rongsheng that are expanding smart factories, this means enhanced supply chain stability.
Another signal is the deepening of industry-academia collaboration. Beizi Technology signed an agreement with Beihang University to jointly build a Beijing key laboratory focused on smart manufacturing and industrial digitization. This suggests the industry is leveraging university research to solve underlying technical challenges in dynamic scheduling, machine vision, and predictive maintenance for logistics equipment. For buyers, this implies that the intelligence level of logistics equipment may enter an accelerated iteration cycle in the next two to three years.
From a regional perspective, Nanxun, Huzhou, is in the core of the Yangtze River Delta, within two hours' drive of textile clusters like Shengze, Keqiao, and Hangzhou. The base's operation will directly serve these regions' chemical fiber, weaving, and dyeing enterprises, reducing transportation and after-sales maintenance costs. It is expected that procurement costs for intelligent logistics equipment in East China could drop by 5% to 8% in the next year, with delivery cycles shortened by 10% to 15%.