Artificial Intelligence in Supply Chain Management
eBook - PDF

Artificial Intelligence in Supply Chain Management

  1. 95 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Artificial Intelligence in Supply Chain Management

About this book

As Artificial Intelligence (AI) continues to revolutionize industries worldwide, its omnipresence becomes increasingly evident in Supply Chain Management (SCM).This Consortium Study, conducted by the Institute of Supply Chain Management (ISCMHSG) at the University of St.Gallen and its promotional association, examines the integration of AI in SCM and aims to address the gap between expectations and reality.The study provides a knowledge foundation to assist supply chain managers in developingrealistic expectations of this technology. Considering the rapid advancement of AI technologies and their potential impact on SCM, this study explores the current state ofAI in SCM and analyzes the disparity between expectations and reality. Through a comprehensive market analysis of AI solutions offered in SCM, opportunities for improvement are identified.The study focuses on aligning expectations and reality by fostering a better understanding of the capabilities of AI in SCM.Additionally, the study investigates obstacles to successful AI integration, including data quality, integration challenges, and unrealistic expectations of potential benefits.Through the collaborative efforts of the participating organizations, this Consortium Study offers a collective understanding of the current state of AI in SCM. It serves as avaluable resource for industry professionals, and academia facilitating the successful integration of AI and driving operational excellence in SCM.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Artificial Intelligence in Supply Chain Management by Klein, Calvin in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.

Information

Year
2023
Print ISBN
9783736978812
eBook ISBN
9783736968813
Edition
1

Table of contents

  1. Table of Contents
  2. 1. Introduction
  3. 2. Methodical Approach
  4. 3. Knowledge Foundation
  5. 4. Expectation Formation
  6. 5. Reality Examination
  7. 6. Combining Expectation and Reality of AI in SCM
  8. 7. Conclusion
  9. Bibliography
  10. Interviewee List
  11. Method Excurse
  12. Glossary of AI in SCM
  13. Imprint