Core Insights - The conference on AI-enabled supply chain and manufacturing, co-hosted by Zhenyun Technology, focused on the application of AI in global supply chain management and intelligent manufacturing, exploring strategies for Chinese enterprises to build smart supply chains during their overseas expansion [1][4] Group 1: Market Trends - Global turmoil, tariff waves, and macroeconomic fluctuations are accelerating the trend of de-globalization, compelling companies to adapt their operational and business models towards more intelligent supply chains [2] - The future supply chain is expected to be more interconnected, with increased transparency of information and higher participation from various stakeholders [2] Group 2: Smart Supply Chain Strategies - Wang Liming proposed a strategy of "adding domestically and subtracting internationally" for building smart supply chains, emphasizing a three-in-one model of ERP, SRM, and AI [4] - The ERP focuses on internal collaboration, while SRM emphasizes external collaboration in procurement [4] Group 3: AI Applications in Procurement - Five core modules were identified for transforming non-functional issues into AI scenarios: - Guided demand management to optimize procurement application processes and risk management [5] - Intelligent supplier recommendations using AI models to filter suppliers based on various criteria [6] - Smart price comparison utilizing AI and NLP technologies for product similarity analysis [7] - Intelligent contract management for efficient extraction and risk identification [8] - Intelligent data analysis for deep insights into spending, performance, and pricing, supporting precise decision-making [9] Group 4: Zhenyun Technology's Innovations - Zhenyun Technology has developed a robust AI framework, leveraging large models, machine learning, and third-party capabilities to create a data service and intelligent application ecosystem [9] - The company has successfully implemented localized system designs to meet compliance requirements in regions like Southeast Asia and Europe, reducing deployment cycles by 40% [9]
制造业如何融入全球产业链?甄云分享AI赋能逆全球化下的供应链建设
Sou Hu Cai Jing·2025-05-19 03:45