Synergizing AI and Machine Learning for Optimal IT Supply Chain Performance in Medical Device Sales

EasyChair Preprint 12061

Abstract

This study explores the integration of artificial intelligence (AI) and machine learning (ML) techniques to enhance the efficiency and effectiveness of IT supply chains in the context of medical device sales. By synergizing AI and ML, organizations can optimize various aspects of their supply chain operations, ranging from inventory management to demand forecasting. The integration of these technologies enables proactive decision-making, real-time data analysis, and predictive insights, thereby improving supply chain performance and responsiveness. Through an in-depth investigation, this research aims to uncover the potential benefits, challenges, and best practices associated with harnessing AI and ML in the medical device supply chain domain.

Keyphrases: Artificial Intelligence, Demand Forecasting, IT supply chain, Inventory Management, Medical Device Sales, Optimization, Predictive Insights, machine learning, synergy

@booklet{EasyChair:12061,
  author    = {Usman Hider},
  title     = {Synergizing AI and Machine Learning for Optimal IT Supply Chain Performance in Medical Device Sales},
  howpublished = {EasyChair Preprint 12061},
  year      = {EasyChair, 2024}}