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Unlocking Business Potential: Leveraging Text Analytics and AI-Driven ERP for Enhanced Operational Efficiency

EasyChair Preprint no. 12747

15 pagesDate: March 27, 2024


In today's data-driven business landscape, organizations are constantly seeking innovative ways to leverage technology to enhance operational efficiency and unlock untapped potential. One such avenue is the integration of text analytics and AI-driven Enterprise Resource Planning (ERP) systems. This paper explores the transformative impact of combining these technologies, offering insights into how businesses can harness the power of textual data to drive intelligent decision-making and streamline operations. By effectively analyzing unstructured text data from various sources, such as customer feedback, social media, and internal communications, organizations can gain valuable insights into market trends, customer preferences, and emerging opportunities. Moreover, the integration of AI-driven ERP systems enables businesses to automate repetitive tasks, optimize resource allocation, and adapt quickly to changing market dynamics. Through real-world case studies and practical examples, this paper illustrates the tangible benefits of adopting a data-centric approach to business operations, showcasing how text analytics and AI-driven ERP systems can empower organizations to achieve greater agility, innovation, and competitive advantage in today's digital economy.

Keyphrases: AI-driven ERP, Automation, Business Intelligence, competitive advantage, Data empowerment, decision making, operational efficiency, resource optimization, Text Analytics, unstructured data

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Mr Juli},
  title = {Unlocking Business Potential: Leveraging Text Analytics and AI-Driven ERP for Enhanced Operational Efficiency},
  howpublished = {EasyChair Preprint no. 12747},

  year = {EasyChair, 2024}}
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