Abstract :
Abstract In today's rapidly evolving business landscape, harnessing the power of data has become paramount for organizations striving to stay competitive. This paper explores the intersection of text analytics, artificial intelligence (AI), and Enterprise Resource Planning (ERP) systems to propel businesses towards becoming intelligent enterprises. With the proliferation of unstructured data sources such as social media, emails, and customer feedback, text analytics emerges as a crucial tool for extracting valuable insights from these vast repositories of information. By integrating AI-driven text analytics capabilities into ERP systems, organizations can unlock hidden patterns, sentiments, and trends within their data, enabling smarter decision-making and proactive strategies. This synergy empowers businesses to derive actionable intelligence from textual data, enhancing operational efficiency, customer satisfaction, and overall performance. Furthermore, AI-driven ERP transformations streamline processes, automate mundane tasks, and facilitate predictive analytics, empowering enterprises to adapt swiftly to market dynamics and capitalize on emerging opportunities. As businesses embark on their journey towards becoming intelligent enterprises, leveraging text analytics and AI within ERP systems emerges as a transformative strategy. This paper elucidates the pivotal role of these technologies in driving organizational agility, innovation, and competitiveness in today's data-driven economy.
Keyword :
Keywords: Business Intelligence, Text Analytics, AI-driven ERP, Intelligent Enterprise, Data, Decision-making, Operational Efficiency, Customer Satisfaction, Predictive Analytics