Process Automation and System Optimization in Enterprise ERP Ecosystems: A Multi-Layer Framework

Abstract

Enterprise Resource Planning (ERP) platforms coordinate essential business activities across Procurement, Inventory Management (IM), Production, Logistics, and Finance (FI). Over time, organizations accumulate manual workarounds, fragmented workflows, and legacy integration patterns that restrict automation and reduce operational reliability. As business expectations shift toward real-time visibility and scalable efficiency, these limitations increasingly hinder performance. This article presents a structured, six-layer framework for process automation and system optimization within ERP-centered environments. The framework integrates baseline assessment, architecture definition, automation pathway selection, clean-core extensibility, data-driven optimization, and governance mechanisms. A composite warehouse fulfillment case demonstrates how the framework reduces manual effort, strengthens data consistency, and improves cycle time and throughput. The framework addresses persistent challenges, including cross-functional complexity, technical debt accumulation, and inconsistent integration patterns. By combining architectural alignment, process mining insights, modern API-based integration, intelligent automation capabilities, and embedded governance, organizations achieve sustainable modernization while maintaining ERP stability and long-term scalability across distributed operational environments.