数商云算力服务：重塑建材行业数字化生态的核心引擎

Core Insights - The building materials industry is undergoing a significant transformation from "scale-driven" to "data-driven" due to the digital economy, with a focus on enhancing efficiency and decision-making through advanced computational solutions [2][3]. Group 1: Computational Demand in the Building Materials Industry - The industry faces challenges such as long supply chains, multiple links, and severe data silos, leading to three core pain points: inaccurate demand forecasting, rigid production scheduling, and inefficient supply chain collaboration [3][4]. - The integration of heterogeneous computing resources has resulted in an elastic computing pool exceeding 10 EFLOPS, improving demand forecasting accuracy from 68% to 92% and reducing inventory turnover time by 40%, saving 120 million yuan in annual warehousing costs [3][4]. Group 2: Core Capabilities and Value Creation - Standardization of heterogeneous computing resources addresses fragmentation issues, enabling small and medium enterprises to access quality computing resources through containerization technologies [4]. - The AI dynamic scheduling engine optimizes costs and efficiency by matching task demands with resource availability, addressing traditional issues of queuing and resource waste [6]. - A blockchain security system has been established to create a trustworthy data ecosystem, addressing trust issues such as quality disputes and payment delays [6]. Group 3: Typical Application Scenarios - Demand aggregation and intelligent forecasting have been enhanced by integrating project management and design software data, leading to improved production planning and reduced delivery times [7][8]. - Flexible production and quality control have been improved through the use of BIM models and IoT devices, resulting in significant cost savings and enhanced equipment utilization [8]. Group 4: Future Outlook - The building materials industry is evolving towards higher levels of intelligence with the maturation of technologies such as quantum computing and the metaverse, indicating a shift towards more efficient, transparent, and sustainable practices [9][10].