AI-Driven ERP Evolution: Enhancing Supply Chain Resilience with Neural Networks and Predictive LSTM Models

Major advances in enterprise resource planning (ERP) systems have come from the fast development of artificial intelligence (AI) technology, therefore enabling businesses to streamline their operations, enhance decision-making, and increase supply chain efficiency. This article looks at how integrating artificial intelligence with ERP systems can enable companies to improve procurement procedures and enhance supply chain efficiency.

Using artificial intelligence technologies—including machine learning, natural language processing, robotic process automation (RPA), and predictive analytics—one may automate repetitive operations, streamline processes, and provide insightful analysis for proactive decision-making. Emphasizing demand forecasting, inventory management, Sourcing, supplier management, and process automation—among other AI-driven capabilities—the study shows how these developments enable companies to reach smarter, data-driven decisions The article also looks at the benefits and difficulties of using artificial intelligence in ERP including data privacy issues and complicated integration. Emphasizing the transforming power of artificial intelligence to revolutionize organizational efficiency in the digital age, the study ends with recommendations and real-world examples for companies trying to use AI for improved ERP functionality.