This paper explores the integration of AI-driven process automation within Enterprise Resource Planning (ERP) systems to address inefficiencies in traditional business operations. By focusing on key areas such as data extraction and validation, inventory and supply chain management, and reporting, the proposed AI solution enhances operational efficiency and decision-making. The algorithm utilizes Natural Language Processing (NLP) and Optical Character Recognition (OCR) to automate data entry and validation, reducing errors and streamlining workflows. Predictive analytics powered by machine learning optimize inventory management and supply chain operations by forecasting demand and minimizing stock outs or overstocking. Additionally, AI enables real-time, dynamic reporting, providing decision-makers with accurate, actionable insights. The implementation of these AI components results in significant improvements, including reduced manual errors, faster response times, and better resource allocation, ultimately transforming ERP systems into adaptive, intelligent platforms. The integration of AI into ERP systems not only improves day-to-day operations
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