Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information Flow
Artificial intelligence (AI) and smart automation are revolutionizing the global supply chain ecosystem at an accelerated pace, providing tremendous potential for resilience, innovation, efficacy, and profitability. This paper examines how AI, machine learning (ML), and robotic process automation (R...
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| Format: | Article |
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MDPI AG
2025-01-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/16/1/26 |
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| author | Mohammad Shamsuddoha Eijaz Ahmed Khan Md Maruf Hossan Chowdhury Tasnuba Nasir |
| author_facet | Mohammad Shamsuddoha Eijaz Ahmed Khan Md Maruf Hossan Chowdhury Tasnuba Nasir |
| author_sort | Mohammad Shamsuddoha |
| collection | DOAJ |
| description | Artificial intelligence (AI) and smart automation are revolutionizing the global supply chain ecosystem at an accelerated pace, providing tremendous potential for resilience, innovation, efficacy, and profitability. This paper examines how AI, machine learning (ML), and robotic process automation (RPA) influence supply chain operations to adjust to the risks and vulnerabilities. It focuses on how AI and other relevant technologies will enhance forecasting to predict actual demand, expedite logistics, increase warehouse efficiency, and promote instantaneously making decisions. This study utilizes thematic analysis to find AI-driven supply chain applications, including logistics optimization, forecasting demand, and risk mitigation, among 383 peer-reviewed articles (2017–2024). It provides a strategic framework for dealing with vulnerabilities, operational excellence, and resilient solutions. Additionally, the research investigates how AI contributes to supply chain resilience by predicting disruptions and automating risk mitigation strategies. This paper identifies critical success factors and challenges in adopting intelligent automation by analyzing real-world industry implementations. The findings will propose a strategic framework for organizations aiming to leverage AI to achieve operational excellence, agility, and real-time information flow for effective decision-making. |
| format | Article |
| id | doaj-art-c8ba4473c0114caeb2d4a32d160e9f8b |
| institution | Kabale University |
| issn | 2078-2489 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj-art-c8ba4473c0114caeb2d4a32d160e9f8b2025-01-24T13:35:11ZengMDPI AGInformation2078-24892025-01-011612610.3390/info16010026Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information FlowMohammad Shamsuddoha0Eijaz Ahmed Khan1Md Maruf Hossan Chowdhury2Tasnuba Nasir3Department of Management and Marketing, College of Business and Technology, Western Illinois University, Stipes Hall 418I, 1 University Circle, Macomb, IL 61455, USACollege of Business, Law & Governance, James Cook University, Townsville, QLD 4814, AustraliaUTS Business School, University of Technology Sydney (UTS), Sydney, NSW 2007, AustraliaSchool of Business, Quincy University, Quincy, IL 62301, USAArtificial intelligence (AI) and smart automation are revolutionizing the global supply chain ecosystem at an accelerated pace, providing tremendous potential for resilience, innovation, efficacy, and profitability. This paper examines how AI, machine learning (ML), and robotic process automation (RPA) influence supply chain operations to adjust to the risks and vulnerabilities. It focuses on how AI and other relevant technologies will enhance forecasting to predict actual demand, expedite logistics, increase warehouse efficiency, and promote instantaneously making decisions. This study utilizes thematic analysis to find AI-driven supply chain applications, including logistics optimization, forecasting demand, and risk mitigation, among 383 peer-reviewed articles (2017–2024). It provides a strategic framework for dealing with vulnerabilities, operational excellence, and resilient solutions. Additionally, the research investigates how AI contributes to supply chain resilience by predicting disruptions and automating risk mitigation strategies. This paper identifies critical success factors and challenges in adopting intelligent automation by analyzing real-world industry implementations. The findings will propose a strategic framework for organizations aiming to leverage AI to achieve operational excellence, agility, and real-time information flow for effective decision-making.https://www.mdpi.com/2078-2489/16/1/26artificial intelligence (AI)intelligent automationresilient supply chainsreal-time decision-makingoperational excellence |
| spellingShingle | Mohammad Shamsuddoha Eijaz Ahmed Khan Md Maruf Hossan Chowdhury Tasnuba Nasir Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information Flow Information artificial intelligence (AI) intelligent automation resilient supply chains real-time decision-making operational excellence |
| title | Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information Flow |
| title_full | Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information Flow |
| title_fullStr | Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information Flow |
| title_full_unstemmed | Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information Flow |
| title_short | Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information Flow |
| title_sort | revolutionizing supply chains unleashing the power of ai driven intelligent automation and real time information flow |
| topic | artificial intelligence (AI) intelligent automation resilient supply chains real-time decision-making operational excellence |
| url | https://www.mdpi.com/2078-2489/16/1/26 |
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