Exploring Integration AI-Powered in Supply Chain Management

This study aims to examine the integration of AI implementation in Supply Chain Management. In this era, AI has become a transformational force in all sectors, especially in SCM. With AI capabilities, it is possible to assist SCM operations in a company. However, there are still many studies that need to be reviewed in this regard. This study examines the literature study method approach. This method uses relevant studies to analyze. The results of this study indicate that the success of AI integration in Supply Chain Management (SCM) depends on organizational readiness, data quality, human resource skills, and management support in investing in technology and training. The main challenges in AI integration include technical difficulties, limited expertise, and data security issues. AI provides significant advantages in increasing efficiency, decision-making accuracy, and supply chain visibility. Industries such as e-commerce, manufacturing, food, and technology implement AI to improve inventory management, accelerate response to demand, and support operational sustainability and competitiveness.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/dasa63652.2024.10836368
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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article

Exploring Integration AI-Powered in Supply Chain Management

Ridho Bramulya Ikhsan, Erick Fernando, Winanti Winanti
1 citations
Big Data and Business Intelligence
0.53
article

Exploring Integration AI-Powered in Supply Chain Management

Ridho Bramulya Ikhsan, Erick Fernando, Winanti Winanti
article en
1 citations

Abstract

This study aims to examine the integration of AI implementation in Supply Chain Management. In this era, AI has become a transformational force in all sectors, especially in SCM. With AI capabilities, it is possible to assist SCM operations in a company. However, there are still many studies that need to be reviewed in this regard. This study examines the literature study method approach. This method uses relevant studies to analyze. The results of this study indicate that the success of AI integration in Supply Chain Management (SCM) depends on organizational readiness, data quality, human resource skills, and management support in investing in technology and training. The main challenges in AI integration include technical difficulties, limited expertise, and data security issues. AI provides significant advantages in increasing efficiency, decision-making accuracy, and supply chain visibility. Industries such as e-commerce, manufacturing, food, and technology implement AI to improve inventory management, accelerate response to demand, and support operational sustainability and competitiveness.

Binus University (ID), Multimedia Nusantara University (ID)
Openalex Percentile: Top 22%
Big Data and Business Intelligence
0.53
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Exploring Integration AI-Powered in Supply Chain Management — Ridho Bramulya Ikhsan, Erick Fernando, et al. · (2024) | TGRS Research Map | TGRS