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              <text>IOT-Enabled Supply Chain Management for Increased Efficiency</text>
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              <text>Artificial intelligence; Big Data; IoT; Supply chain management; Technology; Traditional supply chain</text>
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              <text>Deep learning methods have demonstrated potential Supply chain is a set or group of people as well as companies responsible for producing goods and getting it to their consumers. The producers of the raw materials are the first links in the chain, and the vehicle that delivers the finished goods to the client is the last. Lower costs and higher productivity are the benefits of an efficient supply network, which emphasizes the importance of management of supply chain. The internet of things, or IoT, is a network of mechanical and digital technology that can communicate with one another and send data without the need for human contact. Smart items were included into the conventional supply chain system to increase intelligence, automation potential, and intelligent decision-making. The existing supply chain system is offering previously unforeseen chances to increase efficiency and reduce cost. The aim and motive of our research is to analyze the methods of supply chain management where the main elements of IoT in management of supply chain will be highlighted.   2024 IEEE.</text>
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              <text>Nanjundan P.; James B.V.; George J.P.; Tiwari A.</text>
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              <text>TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/TQCEBT59414.2024.10545070" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/TQCEBT59414.2024.10545070&lt;/a&gt;
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              <text>ISBN: 979-835038427-7</text>
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              <text>Nanjundan P., Christ (Deemed to Be University), Department of Data Science, India; James B.V., Christ (Deemed to Be University), Department of Commerce, India; George J.P., Christ (Deemed to Be University), Department of Data Science, India; Tiwari A., Christ (Deemed to Be University), Department of Commerce, India</text>
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