Computational Modeling of AI-Driven Project Systems: Integrating SAP S/4HANA CPM, PS, and Warehouse Management in Symbotic’s Intelligent Automation Framework
DOI:
https://doi.org/10.22399/ijcesen.4800Keywords:
SAP S/4HANA CPM, Project Systems, Warehouse Management, Computational Modeling, AI Automation, Systems IntegrationAbstract
This paper outlines a computational model for large-scale warehouse automation initiatives, driven by artificial intelligence. The case concerns Symbotic Inc., an artificial intelligence and robotics-based warehouse corporation in the United States that manufactures and supplies automated warehouse systems to major retailers. This paper is developed by a solution architect who is a specialist in SAP S/4HANA Project Systems (PS), Commercial Project Management (CPM), and SAP Warehouse Management (WM), which led to the development of the project-oriented model of computation based on cost control, schedule management, warehouse logistics, and real-time robotic operations. In particular, the paper presents the end-to-end SAP WM configurations that ensure bin-level accuracy, automated picking/put-away functions, and AI-managed robotic safety within the warehouse environment at Symbotic.
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