A Survey of Enterprise Supply Chain Management with Digital Transformation Artificial Intelligence Technologies Applications
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Abstract
Enterprise supply chain management (ESCM) is undergoing a sea change due to technological advancements such as
digital twins, cloud computing, big data analytics, blockchain, and the IoT. Businesses may see improvements in their supply chains'
transparency, efficiency, cooperation, agility, and resilience after implementing these technologies. This review delves into the history
and evolution of corporate supply networks, as well as the digital and intelligent supply chain architecture. As a result of digital
transformation, organizations are able to automate processes, make data-driven decisions, monitor in real-time, and anticipate risks.
Stakeholders in the supply chain can utilize digital twin technology to enhance real-time system presentation, scenario simulation,
resource optimization, and collaborative decision-making. In addition, tasks like transportation, distribution, inventory
management, forecasting, and manufacturing are all improved by AI technologies including deep learning, machine learning, large
language models, natural language processing, and generative AI. AI and IoT can be combined to allow data to flow continuously
and be intelligently processed, further enhancing operational responsiveness and predictive capabilities. Finally, AI-powered digital
transformation is a complete answer for companies that want to improve supply chain resilience, cut costs, and streamline their
supply chain processes. However, standardization of data, interoperability between systems, the scalability of technology, and
appropriate utilization of technology are important future research and implementation issues.
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