AI initiatives in SAP are only as strong as the operational data they depend on. For many organizations, that data still originates from manual processes, delayed updates, disconnected systems, and inconsistent labeling or scanning practices across warehouses, manufacturing sites, and field operations. In this webinar, RFgen will explore why modern data collection is a critical foundation for successful AI, automation, and analytics initiatives in SAP environments. It will also explain how getting the data right at the point of work helps ensure that AI investments deliver reliable, trusted outcomes instead of amplifying existing data problems.
Attendees will learn how technologies such as mobile barcode scanning, RFID, automated labeling, real-time validation, and workflow automation help create cleaner, faster, and more reliable SAP data. The session will also show how improving data capture at the point of work can reduce errors, improve visibility, increase productivity, and better prepare organizations for advanced analytics and AI-driven decision-making. This will help SAP teams move forward with AI initiatives that are supported by a stronger SAP data foundation.
Register Now to learn how to:
-
Identify common operational data collection gaps that limit the success of AI, automation, and analytics initiatives in SAP
-
Evaluate how barcode scanning, RFID, mobile workflows, labeling, and automation can improve SAP data accuracy and process efficiency
-
Explain why real-time, validated data capture is a foundational requirement for reliable AI-driven insights and decision-making
-
Prioritize practical next steps for modernizing data collection across warehouse, manufacturing, inventory, and field operations
Sponsored by:
