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Predictive analytics on artificial intelligence in supply chain optimization

By
Anber Abraheem Shlash Mohammad ,
Anber Abraheem Shlash Mohammad

Research follower, INTI International University, 71800 Negeri Sembilan, Malaysia

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Iyad A.A Khanfar ,
Iyad A.A Khanfar

Business Administration Department, College of Business and Economics, Qassim University, Qassim – Saudi Arabia

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Badrea Al Oraini ,
Badrea Al Oraini

Zarqa University, Jordan

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Asokan Vasudevan ,
Asokan Vasudevan

Faculty of Business and Communications, INTI International University, 71800 Negeri Sembilan, Malaysia

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Suleiman Ibrahim Mohammad ,
Suleiman Ibrahim Mohammad

Research follower, INTI International University, 71800 Negeri Sembilan, Malaysia

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Zhou Fei ,
Zhou Fei

Shinawatra University, 99 Moo 10, Bangtoey, Samkhok, Pathum Thani, Thailand 12160

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Abstract

AI-powered predictive analytics is among the most important ways of optimizing supply chains. This paper on AI-powered predictive analytics will address improving the competitiveness and effectiveness of supply chain operations. Nevertheless, current methods are not always scalable or adaptable to complex supply networks and changing market environments. Therefore, this paper posits that Supply Chain Optimization using Artificial Intelligence (SCO-AI) systems can help with these concerns. SCO-AI employs real-time data analysis and advanced machine learning algorithms which results to reduced response time, enhanced logistics route optimization, improved demand planning as well as real-time inventory control. Thus, the idea herein suggested fits smoothly into existing supply chain frameworks for data-driven decisions that make companies remain agile in ever-changing market dynamics. SCO-AI implementation has seen significant improvements in inventory turnover rate, rates of on-time delivery as well as overall supply chain costs. In this period of high business turbulence, such kind of research builds up the robustness of a given supply chain wh

How to Cite

1.
Shlash Mohammad AA, A Khanfar IA, Al Oraini B, Vasudevan A, Mohammad SI, Fei Z. Predictive analytics on artificial intelligence in supply chain optimization. Data and Metadata [Internet]. 2024 Jul. 1 [cited 2024 Jul. 15];3:395. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/395

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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