AI with ERP-Driven Software Automation in Supply Chain Management

Abstract

Artificial Intelligence and Machine Learning are transforming Supply Chain Management (SCM). They improve demand forecasting, prediction analysis, supplier management, production scheduling, logistics coordination, and inventory control. Companies and sectors utilize hardware-driven automation, such as IoT devices, robots, sensors, ERP system integrations, and RPA. This paper presents research on establishing AI and ML in SCM. It identifies research gaps from 2022 to 2025 in the hardware-based domain. The analysis highlights automation, intelligent decision-making, and process optimisations. Insights are drawn from various studies. Recent enhancements include software-based automation that delivers real-time analytical data on dashboards. This report also introduces a conceptual ERP-AI automation framework and describes upcoming developments, such as self-operating ERP agents, generative AI in supply chain management, and additional hardware options. The AI Agents are relieving the load of human’s pressures and workloads. Implement particular departments according to AI Agents' work and help in your systems. The research serves as a unified resource for scholars seeking affordable, AI-powered supply chain solutions.