Harnessing Technology for Enhanced Efficiency in Supply Chain Operations

The international supply chain environment is quickly changing due to innovations that are reinventing not just the method companies operate. Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, And Automation are some technologies that change the supply chains with more efficiency, better decisions, and live views. The technologies simplify processes like inventory management, demand forecasting, order fulfillment, and logistics optimization, which can keep businesses ahead of the competition in a fast-paced global marketplace. In this paper, we look at how organizations use these technologies to drive operational excellence, entitlement, and responsiveness to customer demand. The report presents some case studies of the successful applications of these technologies and talks about what companies are facing when incorporating these new systems into their existing supply chain process. It also explores strategic best practices in addressing these challenges, beginning with defining clear goals, aligning technology, and ensuring their workforces are ready for change. Finally, the paper looks at the future for supply chain technology. With burgeoning trends such as hyper-automation (driven by AI and IoT), we can expect things to keep improving and improving supply chain performance in years to come. The results show that despite challenges, successfully implementing these technologies increases efficiency and reduces costs, improving customer satisfaction and providing firms with a sustainable comparative advantage. Keywords Supply Chain Management, Technology, Artificial Intelligence, Internet of Things, Blockchain, Automation, Operational Efficiency, Demand Forecasting, Logistics, Inventory Management, Hyper-Automation.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-12-04
DOI
https://doi.org/10.55041/ijsrem15344
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Harnessing Technology for Enhanced Efficiency in Supply Chain Operations

Faiz Mohiuddin Mulla
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Big Data and Business Intelligence
article

Harnessing Technology for Enhanced Efficiency in Supply Chain Operations

Faiz Mohiuddin Mulla
article en

Abstract

The international supply chain environment is quickly changing due to innovations that are reinventing not just the method companies operate. Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, And Automation are some technologies that change the supply chains with more efficiency, better decisions, and live views. The technologies simplify processes like inventory management, demand forecasting, order fulfillment, and logistics optimization, which can keep businesses ahead of the competition in a fast-paced global marketplace. In this paper, we look at how organizations use these technologies to drive operational excellence, entitlement, and responsiveness to customer demand. The report presents some case studies of the successful applications of these technologies and talks about what companies are facing when incorporating these new systems into their existing supply chain process. It also explores strategic best practices in addressing these challenges, beginning with defining clear goals, aligning technology, and ensuring their workforces are ready for change. Finally, the paper looks at the future for supply chain technology. With burgeoning trends such as hyper-automation (driven by AI and IoT), we can expect things to keep improving and improving supply chain performance in years to come. The results show that despite challenges, successfully implementing these technologies increases efficiency and reduces costs, improving customer satisfaction and providing firms with a sustainable comparative advantage. Keywords Supply Chain Management, Technology, Artificial Intelligence, Internet of Things, Blockchain, Automation, Operational Efficiency, Demand Forecasting, Logistics, Inventory Management, Hyper-Automation.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(12)
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
Big Data and Business Intelligence
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