Transactions on Engineering and Computing Sciences https://journals.scholarpublishing.org/index.php/TMLAI <p>Transactions on Engineering and Computing Sciences is peer-reviewed open access online journal that provides a medium of the rapid publication of original research papers, review articles, book reviews and short communications covering all areas of machine learning and artificial Intelligence. The journal publishes state-of-the-art research reports and critical evaluations of applications, techniques and algorithms in Engineering Management, Cloud Systems, Electrical Engineering, Industrial Networks and Intelligent Systems, Mechanical Civil and Chemiical Engineering, Internet of Things, Mathematical Modeling, Robotics Research, Engineering informatics, Computer Science, Computer Hardware/Software, Robotics and application, Embedded Systems, Data Base Management &amp; Information Retrievals, Geographical Information Systems/ Global Navigation Satellite Systems, Fuzzy Systems, Web and Internet computing, Machine learning, Artificial intelligence, Cognitive science, Software engineering, Database systems, Soft computing, Optimization and modelling and related application areas.</p> Services for Science and Education, United Kingdom en-US Transactions on Engineering and Computing Sciences 2054-7390 Role of Cloud Computing & Artificial Intelligence in the Logistics & Supply Chain Industry https://journals.scholarpublishing.org/index.php/TMLAI/article/view/17867 <p>The logistics and supply chain sector finds itself at a critical inflexion point, with mounting pressures to enhance efficiency, increase cost competitiveness and serve the dynamic needs of consumers. To aid such goals, technologies of cloud computing combined with artificial intelligence (AI) come into play. Scalable resources, real-time data access (SaaS), and collaboration offer a superior environment for consolidation, better communication between departments and resource integration across business operations. Further, AI with sophisticated techniques of machine learning have ability to analyze large data sets which enables businesses to automate certain tasks while minimizing certain operations apart from providing predictions.</p> <p>This paper dwells on how cloud computing combined with AI can help in transformation of logistics supply chain management. How businesses across the verticals are leveraging these technologies to improve operations and providing a beacon for technological advancements in their growth. Furthermore, how cloud and AI integration can help industry and gain competitive edge in a rapidly evolving market to foster a more agile, resilient customer centric ecosystem. By adopting such technologies, businesses can navigate through the complexities of modern logistics and supply chain challenges and stay relevant in this hyper competitive digital landscape.</p> Natapong Sornprom Copyright (c) 2024 Natapong Sornprom http://creativecommons.org/licenses/by/4.0 2024-11-09 2024-11-09 12 6 01 13 10.14738/tecs.126.17867