Core Insights - Beijing Sanwei Tiandi Technology Co., Ltd. and Dalian University of Technology's School of Economics and Management signed a cooperation agreement to launch the "PDE-SC&AMB-QM Multimodal Intelligent Agent Construction Project" [1][3] - The collaboration aims to integrate artificial intelligence with management science, focusing on practical applications in the Chinese context [1][3] Project Focus - The project will initially concentrate on two core business scenarios: pharmaceutical supply chain (PDE-SC) and after-sales quality management (AMB-QM) [1] - The cooperation includes research on semantic data models and knowledge-driven intelligent decision-making methods, as well as the development of business ontology models [1] Technological Development - The project aims to merge knowledge graphs with large language models to create business reasoning solutions for more precise and interpretable intelligent analysis and decision support [1] - The initiative is expected to foster innovative and practical solutions in smart medicine, intelligent manufacturing, and quality management, accelerating the industry's digital transformation [3] Future Collaboration - Both parties plan to deepen and broaden their cooperation, exploring more applications of artificial intelligence in management scenarios [3] - The goal is to provide new-generation intelligent tools and methods to support Chinese enterprises in supply chain optimization, quality control, and operational decision-making [3]

Core Insights - The digital transformation of supply chains has evolved from mere technological upgrades to a core competitive advantage for companies facing increasing complexity and uncertainty in global supply chains [1] Group 1: Industry Context - The integration of digital economy and physical economy necessitates precise digital methods to reduce costs and improve efficiency for manufacturing enterprises [1] - Companies are challenged to address market fluctuations through effective supply chain management [1] Group 2: Company Overview - Wang Dachin founded Yijun Information in 2015 to translate advanced supply chain optimization theories into operational business systems [3] - Yijun Information is characterized by a "tech-driven" approach, focusing on developing core algorithm engines rather than simple system integration [3] Group 3: Technological Innovations - The company has developed intelligent supply chain collaboration systems, including MPS (Master Production Schedule), APS (Advanced Planning and Scheduling), and DRP (Distribution Resource Planning), capable of processing vast amounts of data and constraints to provide optimal production and replenishment plans [3] - These systems enable efficient collaboration between inventory replenishment and production manufacturing, particularly in fast-moving consumer goods (FMCG) sectors [4] Group 4: Achievements and Recognition - Yijun Information has empowered numerous Fortune 500 companies, achieving significant improvements in inventory turnover and capacity utilization through optimized planning systems [4] - The company has been recognized as a high-tech enterprise, accumulating over 40 software copyrights and receiving awards such as the Shanghai Science and Technology Award (Second Prize) and the ECR Best Practice Project Certificate [4] - Wang Dachin's work exemplifies the integration of academic theory with market needs, effectively addressing practical challenges in digital transformation for enterprises [4]