Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Application of Artificial Intelligence in the Supply Chain Finance Subject The topic of the resource Artificial Intelligence; Cost efficient; etc; Supply Chain Management Description An account of the resource Artificial intelligence (AI) has numerous applications in supply chain finance, including the ability to streamline processes, improve decision-making, and reduce costs. This abstract will discuss some of the key ways in which AI is being used in supply chain finance. One major Using AI in the Supply Chain finance is in risk management. By analyzing data from a variety of sources, including historical transaction data and external market data, AI can identify potential risks and suggest strategies for managing them. For example, AI can be used to predict which suppliers are at the greatest risk of financial distress, allowing companies to take proactive measures to minimize the impact of any disruptions. Another key Using AI in the Supply Chain finance is in fraud detection. By analyzing large volumes of data in real-time, AI can spot deviations from the norm that may point to fraud. This can help companies to prevent fraud and minimize losses. AI can also be used to optimize working capital management. By analyzing data on inventory levels, order volumes, and payment terms, AI can help companies to optimize their cash flow and improve their working capital position. For example, AI can help companies to identify opportunities to negotiate more favorable payment terms with suppliers or to optimize their inventory levels to minimize the amount of cash tied up in inventory. Finally, AI can be used to improve supply chain efficiency and reduce costs. By analyzing data on order volumes, shipping times, and other factors, A.I. may aid businesses in identify opportunities to their supply network needs improvement processes and reduce costs. For example, AI can aid businesses in determining opportunities to consolidate shipments or to optimize their routes to reduce transportation costs. Now a days AI has numerous applications in supply chain finance, including risk management, fraud detection, working capital management, and supply chain optimization. By leveraging the power of AI, companies can improve their financial performance, reduce costs, and enhance their overall competitiveness. 2023 IEEE. Creator An entity primarily responsible for making the resource Rajagopal M.; Nayak K.M.; Balasubramanian K.; Abdul Karim Shaikh I.; Adhav S.; Gupta M. Source A related resource from which the described resource is derived Proceedings of 8th IEEE International Conference on Science, Technology, Engineering and Mathematics, ICONSTEM 2023 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICONSTEM56934.2023.10142286" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICONSTEM56934.2023.10142286</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163211997&amp;doi=10.1109%2FICONSTEM56934.2023.10142286&amp;partnerID=40&amp;md5=0cdf2aa882f3fb56d5712fbed3cf07a8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163211997&amp;doi=10.1109%2fICONSTEM56934.2023.10142286&amp;partnerID=40&amp;md5=0cdf2aa882f3fb56d5712fbed3cf07a8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034779-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajagopal M., CHRIST(Deemed to Be University), Lean Operations and Systems, School of Business and Management, Bangalore, 560029, India; Nayak K.M., University of Mumbai's, Garware Institute of Career Education and Development, India; Balasubramanian K., Kalasalingam Academy of Research and Education, Kalasalingam Business School, Tamilnadu, Srivilliputhur, India; Abdul Karim Shaikh I., Bahrain Polytechnic, Faculty of Business, Bahrain; Adhav S., Dr. Vishwanath Karad MIT-World Peace University, School of Management (PG), Pune, India; Gupta M., Chitkara University, Chitkara Business School, Punjab, India