Explore the promise of AI in the supply chain
As companies aggressively pursue lofty supply chain goals in efficiency, agility, resiliency, and sustainability, they are testing the waters with artificial intelligence( AI), striving to build tangible business cases at scale for the rapidly emerging technology.
There is no shortage of potential AI applications for the supply chain, as companies experiment across demand forecasting, inventory management, route optimization, warehouse automation, transportation management, supplier selection, quality control, risk management, customer service, sustainability, and data analytics.
The modern supply chain exhibits complexities that are theoretically perfect fits for AI. For instance, the volume of data has dramatically increased as more products and equipment are connected via Internet of Things( IoT) solutions and transmitting usage, performance, condition, location, and environmental data in near real-time. At its core, AI can quickly parse massive quantities of data, detect out-ofcontrol conditions, and trigger predictive and reactive workflows associated with specific conditions. Also, supply chain systems are increasingly integrated with adjacent systems in manufacturing, logistics, product design, asset management, and service management. AI can rapidly consider interdependent variables and trade-offs across all these systems, which can inform decisions.
With SAP Business AI in supply chain, customers can:
• Predict customer demand reliably with AI-powered demand forecasting
• Improve quality with intelligent anomaly detection and visual inspections
• Synchronize operations and maximize efficiency with predictive maintenance.
Executives across industries are looking to AI-enabled supply chain management to increase visibility, improve logistics, and optimize inventory and service levels.
Find out how you can use AI to get out in front of the competition today.
Learn more
© 2023 SAP SE or an SAP affiliate company. All rights reserved.