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Revolutionizing Enterprise Efficiency: Harnessing Text Analytics and AI for Intelligent ERP Transformation

EasyChair Preprint no. 12737

11 pagesDate: March 27, 2024


In the contemporary business landscape, the quest for efficiency and agility has led to a paradigm shift towards intelligent enterprise systems. This transformation is fueled by the integration of cutting-edge technologies such as Text Analytics and Artificial Intelligence (AI) into Enterprise Resource Planning (ERP) frameworks. This abstract delves into the pivotal role of these technologies in revolutionizing enterprise operations, optimizing decision-making processes, and enhancing overall productivity. By harnessing the power of Text Analytics, organizations can extract valuable insights from unstructured data sources, including customer feedback, social media interactions, and market trends. Concurrently, AI-driven ERP systems empower enterprises to streamline workflows, automate routine tasks, and facilitate predictive analytics for informed strategic planning. This abstract elucidates the transformative potential of merging Text Analytics and AI within ERP frameworks, fostering an ecosystem conducive to agile adaptation, competitive advantage, and sustained growth in the digital era.

Keyphrases: Artificial Intelligence, Business Operations, competitive advantage, decision making, enterprise efficiency, ERP Transformation, Innovation, Intelligent Enterprise, Text Analytics

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {M Khan},
  title = {Revolutionizing Enterprise Efficiency: Harnessing Text Analytics and AI for Intelligent ERP Transformation},
  howpublished = {EasyChair Preprint no. 12737},

  year = {EasyChair, 2024}}
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