ChainAutomate-ERP: A Blockchain-Driven Smart Workflow Framework for Secure and Transparent Enterprise Resource Planning Automation

Abstract

Enterprise Resource Planning (ERP) systems are pivotal in managing organizational workflows across departments such as finance, human resources, inventory, and procurement. However, traditional ERP systems are prone to inefficiencies including lack of transparency, delayed approvals, data inconsistencies, and audit complexities. This paper introduces ChainAutomate-ERP, a blockchain-powered workflow automation framework that integrates smart contracts, reinforcement learning (A3C) agents, and IPFS-based document storage to enhance ERP operations. The proposed SmartFlowChain-Net architecture ensures tamper-proof workflow execution, decentralized approvals, and AI-driven optimization of task routing and resource utilization. A permissioned blockchain network using Hyperledger Fabric is configured with department-wise node identities and inter-channel communication for secure data exchange. Smart contracts autonomously govern workflows such as invoice processing, purchase orders, and leave approvals, eliminating human error and procedural delays. Reinforcement learning agents trained with historical data significantly improved resource allocation and decision efficiency. The framework was benchmarked against traditional ERP systems across five key performance dimensions. Experimental results demonstrate substantial improvements: average workflow execution time reduced by 58.6%, approval accuracy increased from 88.1% (manual) to 98.2% (blockchain-based), and resource allocation efficiency rose from 69.4% to 91.5%. Moreover, audit time dropped by 63.7%, and integrity check failures per 1000 transactions decreased by over 90%. The findings confirm that ChainAutomate-ERP delivers a secure, transparent, and scalable automation layer for next-generation ERP ecosystems. The integration of AI and blockchain technologies positions the system as a transformative solution for enterprises seeking operational excellence and regulatory compliance.