International Journal on Science and Technology

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The Transformative Impact of AI on Supply Chain, Operations Planning, Logistics, and Retail: Technical Implementations and Outcomes

Author(s) Dattatreya Raychowdhuri
Country United States
Abstract This comprehensive technical article examines the transformative impact of artificial intelligence technologies across supply chain management, operations planning, logistics, and retail sectors. The article explores sophisticated AI implementations including predictive analytics, inventory optimization,
route planning, warehouse automation, retail personalization, and worker augmentation systems. Through detailed case studies of leading organizations such as Amazon, Walmart, DHL, and Target, the article demonstrates how AI architectures are fundamentally reshaping traditional operational models. The
article identifies key technical components enabling these transformations, including distributed processing pipelines, reinforcement learning frameworks, computer vision systems, and human-AI collaboration models. Despite implementation challenges related to data quality, security concerns, and
workforce adaptation, organizations are achieving substantial improvements in efficiency, accuracy, and customer experience. The article concludes by examining emerging directions including federated supply chain intelligence and quantum computing applications that promise to further advance capabilities in
coming years.
Keywords Artificial Intelligence, Supply Chain Management, Predictive Analytics, Workforce Augmentation, Autonomous Retail
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-31
Cite This The Transformative Impact of AI on Supply Chain, Operations Planning, Logistics, and Retail: Technical Implementations and Outcomes - Dattatreya Raychowdhuri - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.3048
DOI https://doi.org/10.71097/IJSAT.v16.i1.3048
Short DOI https://doi.org/g9dgpz
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