
African engineer and tablet operating a robotic arm in industrial manufacturing.Male technician maintenance automatic robot hand in smart factory, industrial and manufacturing concept
Hannover — SAP SE (NYSE: SAP) today announced advances in AI in supply chain solutions that will drive a wave of transformation in productivity, efficiency, and accuracy in manufacturing. AI-driven insights from real-time data can help companies use their data to make better decisions across the supply chain, streamline product development, and improve manufacturing efficiency.
“Businesses today face a variety of challenges, from supply chain disruptions and labor shortages to geopolitical uncertainty,” said Muhammad Alam, SAP SE Board Member, SAP Product Engineering. I am. “SAP recognizes that agility and intelligence are essential, and our AI-powered solutions drive innovation and streamline supply chains and manufacturing processes. , increase operational efficiency and improve supply chain resilience, paving the way for sustained growth and market competitiveness.”
Accurate, relevant, and real-time information helps reduce the impact of supply chain disruptions on suppliers, manufacturers, and distributors around the world. SMA Solar Technology AG and other customers benefit from SAP solutions, including an approximately 15% increase in supply chain employee productivity, a 10% reduction in planning costs across the supply chain, and a 10% reduction in inventory carrying costs and inventory turnover. We are already seeing the benefits. rate.
Heiko Kehm, Head of IT Order to Cash at SMA Solar said: “SMA Solar is leveraging the power of AI-enabled visual inspection in SAP Digital Manufacturing Solutions to modernize its manufacturing execution system to support sustainable and risk-resilient manufacturing operations.”
According to the global 2024 IDC InfoBrief sponsored by SAP*, “The Importance of AI in Supply Chain and Operations,” 63% of supply chain executives and 52% of operations executives have an AI strategy related to their business goals. Masu. Of the 2,000 survey respondents, 51% are incorporating AI into their supply chain planning business processes and key applications for real-time decision-making. Additionally, 58% are using AI to improve operational efficiency and employee productivity.
Key improvements to SAP's supply chain solutions that support customers' AI-centric strategies include:
- Optimize decisions across your supply chain with AI-powered insights. Companies will be able to leverage greater amounts of machine data and integrate computerized, AI-driven visual inspection into their production processes, enabling significant quality improvements through automation.
- Streamline product development: Product developers can now quickly and effectively gather and enrich new product ideas using natural language queries using Joule, SAP's AI copilot. Joule also helps you tag product designs with business data to visually contextualize business-critical information.
- Detecting Equipment abnormality: AI allows asset managers to proactively address potential failures based on sensor data collected from smart devices and edge gateways. This new capacity is powered by Software AG's cutting-edge Cumulocity IoT platform and will be integrated into the SAP Asset Performance Management application in the third quarter.
- Improved field response: Customers can use integrated real-time traffic data and models trained with machine learning to optimize driving routes and efficiently allocate work assignments. This ensures that the appropriate field service technicians arrive at their destination on time.
Find out more about the innovations SAP will be showcasing at Hannover Messe.
visit SAP News Center. Follow SAP @SAPNews.
*IDC InfoBrief, Sponsored by SAP, The Importance of AI in Supply Chain and Operations, Document No. US52042224, April 2024.
About SAP
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