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Machine Learning Advancements in M&A and IT Supply Chain Sales for Medical Devices with SAP Integration

EasyChair Preprint no. 12084

7 pagesDate: February 12, 2024


This study explores the profound impact of machine learning on the realms of Mergers and Acquisitions (M&A) and Information Technology (IT) supply chain management, with a focus on optimizing sales processes for medical devices through seamless SAP integration. As businesses increasingly turn to artificial intelligence (AI) for strategic decision-making, understanding the applications and advancements in machine learning becomes crucial for achieving effective execution and sustainable growth. The first segment of this research delves into the landscape of M&A, shedding light on how machine learning algorithms enhance decision-making processes during mergers and acquisitions. By leveraging predictive analytics, natural language processing, and data-driven insights, organizations can navigate the complexities of M&A with greater precision, identifying synergies and potential risks. The study further investigates the integration of machine learning models in optimizing post-merger IT supply chain operations, fostering efficiency and adaptability in a rapidly evolving business environment. The second focus area centers on the sales of medical devices within the IT supply chain. Machine learning algorithms play a pivotal role in predicting customer preferences, optimizing pricing strategies, and streamlining inventory management. These advancements enable organizations to create a responsive and customer-centric supply chain tailored to the unique requirements of the medical device industry. The study emphasizes the role of data-driven decision-making in enhancing sales effectiveness, ensuring a competitive edge in the market.

Keyphrases: Artificial Intelligence, IT supply chain, machine learning, medical devices, Mergers and Acquisitions, Predictive Analytics, Sales Optimization

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Battle Hurry},
  title = {Machine Learning Advancements in M&A and IT Supply Chain Sales for Medical Devices with SAP Integration},
  howpublished = {EasyChair Preprint no. 12084},

  year = {EasyChair, 2024}}
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