Live AI Use Cases Show How SAP Delivers Trusted Orchestration and Smarter Execution for Manufacturing and Supply Chain Management

Live AI Use Cases Show How SAP Delivers Trusted Orchestration and Smarter Execution for Manufacturing and Supply Chain Management

Summary (EN)

SAP used Hannover Messe 2026 to demonstrate a set of AI-enabled manufacturing and supply-chain workflows built around what it describes as trusted orchestration and smarter execution. The showcase centered on the production, packaging, and warehousing of a ginger-shot product, turning the booth into an end-to-end industrial process rather than a software demo. Visitors saw SAP connect robots, machines, and enterprise applications across inspection, planning, production, logistics, packaging, and warehouse execution. Examples included natural-language interaction with an ANYbotics robot through Joule for remote field-service inspections, a DMG MORI CNC machine producing spare parts as part of a digital manufacturing flow, and AIMBO and other robotic systems handling picking, packing, and end-of-line physical tasks. SAP also highlighted specific AI functions such as production planning and operating agents, supply optimization analysis, condition monitoring, AI-assisted logistics coordination, and exception handling embedded in agent-driven processes. The company framed the overall architecture as an orchestration layer where agentic AI, trusted business data, and operational software work together in real time to sense events, analyze disruptions, and trigger actions across the factory and supply chain. The article positions the demonstrations as evidence that AI is moving from pilot projects and dashboards into operational execution, especially in manufacturing settings where integration, resilience, auditable data, and physical-world coordination are essential for business value.

Summary (ZH)

SAP 在 Hannover Messe 2026 上展示了一套面向制造与供应链的 AI 工作流，核心概念是其所称的“可信编排”和“更智能的执行”。此次展示并非单纯的软件演示，而是围绕一款姜汁饮品的生产、包装和入库过程，搭建出完整的端到端工业流程。参观者可以看到 SAP 如何把机器人、工业设备与企业应用连接起来，贯通巡检、计划、生产、物流、包装和仓储执行等环节。具体案例包括通过 Joule 以自然语言控制 ANYbotics 机器人完成远程现场巡检，DMG MORI 的 CNC 设备作为数字制造流程的一部分生产备件，以及 AIMBO 等机器人系统负责拣选、打包和产线末端的物理作业。SAP 还重点介绍了多种 AI 功能，包括生产计划与运营代理、供应优化分析、状态监测、AI 辅助物流协调，以及嵌入 agent 驱动流程中的异常处理。SAP 将整套架构定义为一个实时编排层，让 agentic AI、可信业务数据与运营软件协同工作，持续感知事件、分析扰动，并在工厂与供应链之间触发行动。文章的核心信息是，AI 正在从试点项目和分析面板走向真正的运营执行，尤其是在制造业这种高度依赖系统集成、韧性、可审计数据和物理世界协同的环境中。

Source

https://news.sap.com/2026/04/hannover-messe-live-ai-use-cases-manufacturing-scm/