Architectural Framework for ERP-WMS Integration: Mitigating Data Latency and Transactional Asymmetry in Integrated Logistics Systems

Abstract

Abstract This paper presents a novel, vendor-agnostic stateful orchestration architecture designed to mitigate systemic data latency and transactional asymmetry within integrated enterprise-level logistics frameworks. In multi-enterprise distributed environments, the decoupling of decentralized physical Warehouse Management Systems (WMS) from centralized Enterprise Resource Planning (ERP) database cores introduces severe synchronization boundary failures. We systematically analyze three critical points of operational vulnerability: serialization asymmetry in distributed tracking, atomic transaction failures during partial outbound executions, and inventory record propagation delay within reverse logistics matrices. To resolve these vulnerabilities, we introduce the State-Aware, Automated Alignment, Integration Integrity, and Logistics Cost Optimization (SAIL) framework. By transitioning integration middleware from stateless message routing pipes to active, state-retaining orchestration layers, the SAIL framework leverages an automated Heuristic Validation Buffer (HVB), an asynchronous Dual-Handshake Programmatic Lock protocol, and multi-variable cost-weight heuristic models. Field evaluation validates that the proposed architecture eliminates up to 90% of manual inventory remediation transactions while maintaining strict end-to-end ledger integrity across completely decoupled data systems.