BOOK-CHAPTER

AI-Driven Inventory Management for Optimizing Operations With Quantum Computing

Sumit MittalPriyanka KoushikI. P. BatraPawan Whig

Year: 2024 Advances in logistics, operations, and management science book series Pages: 125-140   Publisher: Routledge

Abstract

This chapter explores the transformative potential of integrating artificial intelligence (AI) with quantum computing to revolutionize inventory management practices. In today's dynamic business environment, efficient inventory management is paramount for organizations seeking to meet customer demand while minimizing costs and maximizing profitability. By harnessing AI's cognitive capabilities and quantum computing's computational prowess, this chapter elucidates how organizations can achieve unprecedented levels of optimization in their inventory operations. From demand forecasting and order fulfillment to supply chain optimization and risk mitigation, AI-driven quantum computing empowers organizations to make data-driven decisions with unparalleled accuracy and agility. Through real-world examples and case studies, this chapter showcases the tangible benefits of leveraging AI and quantum computing in inventory management, paving the way for enhanced operational efficiency, improved customer satisfaction, and sustainable competitive advantage in the marketplace.

Keywords:
Quantum computer Computer science Inventory management Quantum Operations research Business Operations management Engineering Physics Quantum mechanics

Metrics

11
Cited By
13.86
FWCI (Field Weighted Citation Impact)
9
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Quantum Computing Algorithms and Architecture
Physical Sciences →  Computer Science →  Artificial Intelligence
Computability, Logic, AI Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Quantum Information and Cryptography
Physical Sciences →  Computer Science →  Artificial Intelligence

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