Chinese baijiu producer scaling digital manufacturing and supply chain systems
江苏今世缘 is a mid-sized baijiu distillery automating production through SAP, MES, and PLM integration—typical of legacy manufacturing moving toward Industry 4.0. The tech stack reveals a Java + Spring backend with data science libraries (TensorFlow, PyTorch, Keras) that point to internal R&D on flavor chemistry and food safety analytics rather than customer-facing ML. Active projects center on digital factory deployment and ERP-MES coupling, while pain points cluster around integration friction and process control—common scaling barriers for spirits producers managing strict compliance and product consistency.
江苏今世缘 is a Chinese baijiu (distilled liquor) manufacturer headquartered in Huai'an, Jiangsu Province. The company operates as a mid-tier regional distillery with 1,001–5,000 employees across production, quality assurance, sales, and corporate functions. Operationally, they are executing a digital transformation initiative spanning SAP supply-chain modules, MES production scheduling, PLM product lifecycle tracking, and WMS warehouse management. Core focus areas include food safety compliance, flavor chemistry research, and process optimization—critical in baijiu production where batch consistency and regulatory adherence directly impact brand reputation and market access.
Java, Spring Boot, Vue, SQL Server, MySQL, Oracle, SAP, MES, PLM, WMS, and data science frameworks (TensorFlow, PyTorch, Keras). Linux and nginx support infrastructure. Deployment platforms include VMware.
Digital factory transformation (MES development, SAP-MES-PLM integration), supply chain optimization, food safety R&D, and flavor chemistry analysis. Active projects include system architecture redesign and new MES requirement development.