Keynote speech: application of artificial intelligence (AI)in supply chains

Kumar, Anil (2023) Keynote speech: application of artificial intelligence (AI)in supply chains. In: 2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO), 23-25 December 2022, Pathum Thani, Thailand.


The application of Artificial Intelligence (AI) in supply chains (SCs) has grown significantly in recent years. AI has been used in the SCs for various purposes such as optimizing inventory management, predicting demand, forecasting, and automated decision-making. Furthermore, AI can have significant impacts on the supply chain, such as better customer service, reduced inventory costs, improved forecasting accuracy, and more efficient processes. Despite these potential benefits, there are also risks associated with AI, such as data privacy and security issues, lack of transparency, and potential bias. In addition, there are still gaps related to the lack of understanding of AI capabilities and the lack of data for AI models to use in decision-making. Therefore, this study presents an overview of the applications of AI in SCs, highlighting the gaps and impacts of its use in the industry. While AI offers many advantages to supply chain management, some gaps need to be addressed. First, AI needs to be integrated with existing supply chain systems and needs to be trained to make accurate predictions. AI algorithms are only as good as the data they are given, so it is important to ensure that the data is accurate and reliable. Secondly, AI needs to be able to scale to handle the increasing complexity of the supply chain. The findings of this study suggested that the impact of AI in SCs is significant. AI can reduce costs, increase efficiency, and improve customer satisfaction. AI can also reduce the time needed to complete tasks, allowing the supply chain to be more agile and responsive to changes in market conditions. Therefore, this study provides an overview of the current applications of AI in SCs, identifies gaps and opportunities for further development, and discusses the potential impacts of AI on the supply chain.

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