Revolutionizing ERP Systems: The Integration of AI and Large Language Models in Manufacturing and Retail

Abstract

Enterprise Resource Planning (ERP) systems have long been pivotal in enhancing operational efficiency in the manufacturing and retail sectors,streamlining core business functions such as production management, inventory control, and financial planning. As these systems evolve, the integration of emerging technologies, particularly Artificial Intelligence (AI) and Large Language Models (LLMs), offers transformative opportunities to expand ERP capabilities. This paper explores the current landscape of ERP systems in manufacturing and retail, examining their market share and assessing how LLMs can augment ERP functions such as demand forecasting, data analysis, and decision-making. By conducting an in-depth analysis of market dynamics, technical feasibility, and benefit- cost assessments, this study provides insights into how AI-driven advancements can reshape ERP systems, improving automation, data processing, and overall organizational performance. Additionally, the research evaluates the scalability of LLM-driven ERP systems across different industries and forecasts adoption rates over the next decade. The findings suggest that while LLM-enhanced ERP systems offer significant potential to revolutionize enterprise resource planning, challenges related to high computational costs, technical complexity, biases in AI models, and data privacy concerns remain critical hurdles to widespread adoption. Nonetheless, as AI technologies advance and industries adapt, LLM-driven ERP systems are poised to play an increasingly vital role in the future of business operations.