BLOCKCHAIN-ENABLED ERP WAREHOUSE INTEGRATION WITH IOT DIMENSIONERS AND MACHINE LEARNING–OPTIMIZED DIMENSIONAL WEIGHT RECONCILIATION

Abstract

Small and medium enterprises (SMEs) increasingly depend on ERP‑integrated warehouse management systems (WMS) to sustain operational efficiency, yet persistent challenges remain in freight cost optimization, reconciliation latency, and auditability. Miscalculations in dimensional weight (DW) frequently result in financial leakage, disputes, and compliance risks. This study introduces a blockchain‑enabled ERP warehouse module that integrates IoT dimensioners, a machine learning–based DW optimization engine, and permissioned smart contracts to ensure provenance, tariff integrity, and dispute resolution. Unlike prior research that examined blockchain traceability, ERP integration, IoT monitoring, or machine learning optimization in isolation, the proposed framework unifies these dimensions and explicitly addresses SME scalability through a hybrid cloud/on‑premise architecture. A reproducible prototype demonstrates measurable improvements, reducing mean absolute error to ≤0.8 kg, reconciliation latency to ≤1.5 s, and dispute rates to <0.5% under SME‑scale transaction loads.