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

EasyChair Preprint 12084

Abstract

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, Mergers and Acquisitions, Predictive Analytics, Sales Optimization, machine learning, medical devices

@booklet{EasyChair:12084,
  author    = {Battle Hurry},
  title     = {Machine Learning Advancements in M&A and IT Supply Chain Sales for Medical Devices with SAP Integration},
  howpublished = {EasyChair Preprint 12084},
  year      = {EasyChair, 2024}}