The transformation to intelligent manufacturing in the construction materials industry is accelerating, and digital customization platforms for door and cabinet products are on the rise.
Jan 19,2026
Currently, the building materials industry is accelerating its transition toward intelligent manufacturing, driven by technological innovation to fuel industrial upgrading. Under the dual impetus of policy guidance and market demand, companies are leveraging digital technologies to restructure their production processes, achieving end-to-end intelligence—from R&D and design all the way through supply chain management. For example, China National Building Materials Group has harnessed the “Xiaomiao” industrial large-scale model to implement real-time closed-loop control and optimize operational decision-making in cement production. As a result, the cost of cement ingredient formulation per ton has been reduced by more than 1%, and a replicable, standardized implementation approach has been established. The data governance cycle for a single plant has been shortened to within 14 days, and the model deployment time has been cut to just 7 days, with a return-on-investment period of approximately one year. This practice provides a benchmark for the industry’s transformation from traditional manufacturing to intelligent operations.
In the field of customized products such as door and cabinet systems, digital platforms are emerging as a core growth engine. By integrating BIM (Building Information Modeling) technology, the Industrial Internet, and AI algorithms, companies are building closed-loop systems that span from capturing consumer needs to enabling flexible production. For example, Shangpin Home Furnishings has applied BIM technology to the home decoration sector, using virtual design to simulate the entire construction lifecycle and proactively optimize process workflows, allowing consumers to participate intuitively in the renovation process. Meanwhile, Oriental Raincoats has established “unmanned workshops,” leveraging intelligent warehousing and monitoring systems to balance production schedules and mitigate risks. These platforms not only shorten customization lead times but also drive product iteration through data accumulation, fostering a collaborative ecosystem spanning “design-production-service.” This approach helps companies break through bottlenecks in mass production and enhance their market responsiveness.