Home
International Journal of Science and Research Archive
International, Peer reviewed, Open access Journal ISSN Approved Journal No. 2582-8185

Main navigation

  • Home
    • Journal Information
    • Abstracting and Indexing
    • Editorial Board Members
    • Reviewer Panel
    • Journal Policies
    • IJSRA CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Become a Reviewer panel member
    • Join as Editorial Board Member
  • Contact us
  • Downloads

ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

The rise of the "smart" supply chain: How AI and automation are revolutionizing logistics

Breadcrumb

  • Home
  • The rise of the "smart" supply chain: How AI and automation are revolutionizing logistics

Temitayo Oluwadamilola Adesoga 1, *, Tolulope Olusola Ajibaye 2, Kenneth Chukwujekwu Nwafor 3, Ummulikhaeri Temitope Imam-Lawal 4, Emmanuel Ayobamidele Ikekwere 5 and Daniel Ikechukwu Ekwunife 6

1 College of Business, Auburn University, USA.
2 Business Administration, Obafemi Awolowo University, Nigeria.
3 Management Information Systems, University of Illinois, Springfield, USA.
4 Project Management, Northern Eastern University, Toronto, Canada.
5 Data Analytics, Harrisburg University of Science and Technology, USA.
6 Global Supply Chain Management. University of New Haven, West Haven, CT USA.

Review Article
 
International Journal of Science and Research Archive, 2024, 12(02), 790–798.
Article DOI: 10.30574/ijsra.2024.12.2.1304
DOI url: https://doi.org/10.30574/ijsra.2024.12.2.1304

Received on 08 June 2024; revised on 15 July 2024; accepted on 18 July 2024.

The logistics industry is experiencing transformational change driven by the rise of "smart" supply chains enabled by artificial intelligence (AI) and automation. This study examines the transformational impact of this technology, exploring how it increases productivity, reduces costs, and empowers better decision-making and inventory management throughout the supply chain. Focusing on transportation, warehousing, and demand forecasting, the paper provides a comprehensive view of the benefits and challenges associated with implementing AI and automation in logistics. Real-world examples and case studies illustrate the practical applications of these technologies and their potential to reshape the future of supply chain management.
AI algorithms are reshaping inventory management by leveraging big data for precise future predictions, helping companies streamline operations through automated replenishment and reduced stock levels. In transportation, AI optimizes routes considering traffic, weather, and delivery times, leading to fuel savings, faster deliveries, and lower costs. Warehousing benefits from AI with enhanced scheduling, automated processing, and robotic conveyors improving efficiency and accuracy. Furthermore, AI-driven demand forecasting integrates sales data, consumer trends, and social media insights to forecast demand accurately, enhancing production planning and customer service.
The adoption of "smart" supply chains faces several hurdles. Concerns over data privacy due to reliance on big data necessitate stringent data management practices and compliance with privacy laws. Technical barriers and high initial costs for AI implementation are particularly daunting for smaller businesses. Potential solutions, like partnering with AI providers or focusing on long-term benefits, offer strategies to overcome these challenges. Despite these obstacles, AI and automation hold immense potential to revolutionize logistics, offering companies competitive advantages, cost optimization, and superior customer service. As these technologies advance, the future of efficient and agile delivery looks promising.

AI in Supply Chain; Smart Logistics; Automation in Transportation; Inventory Management Optimization; AI-Driven Demand Forecasting; Data Privacy in Logistics

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-1304.pdf

Preview Article PDF

Temitayo Oluwadamilola Adesoga, Tolulope Olusola Ajibaye, Kenneth Chukwujekwu Nwafor, Ummulikhaeri Temitope Imam-Lawal, Emmanuel Ayobamidele Ikekwere and Daniel Ikechukwu Ekwunife. The rise of the "smart" supply chain: How AI and automation are revolutionizing logistics. International Journal of Science and Research Archive, 2024, 12(02), 790–798. Article DOI: https://doi.org/10.30574/ijsra.2024.12.2.1304

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

          

   

Copyright © 2026 International Journal of Science and Research Archive - All rights reserved

Developed & Designed by VS Infosolution