SAP has introduced AI advancements in its supply chain solutions designed to help companies use their own data to make better decisions across supply chains, streamline product development and improve manufacturing efficiency.
Key improvements to SAP’s supply chain solutions to support users’ AI-centric strategy include:
Optimizing decisions across the supply chain with AI-driven insights: Companies can leverage higher volumes of machine data and integrate AI-driven visual inspection by computer into their production processes.
Streamlining product development: Product developers can use SAP’s AI copilot Joule to gather and enhance new product ideas using natural language queries. Joule also helps tag product designs with business data, so they visually contextualize business-critical information.
Detecting equipment anomalies: Using AI, asset operators can proactively address potential breakdowns based on sensor data collected from smart devices and edge gateways. This new capacity utilizes the Cumulocity IoT platform from Software AG, which is planned to be embedded in the SAP Asset Performance Management application in Q3.
Improving field response: Users can optimize driving routes and allocate job assignments with integrated real-time traffic data and machine-learning-trained models, which enable the right field service technicians to reach their destinations on time.
