The Transformative Impact of AI on E-Commerce Supply Chain Logistics


Authors : Mallinath Swamy; Ashwini Hatti; Priyanka Devani

Volume/Issue : Volume 10 - 2025, Issue 9 - September


Google Scholar : https://tinyurl.com/4pcc7ww8

Scribd : https://tinyurl.com/3m8a33u2

DOI : https://doi.org/10.38124/ijisrt/25sep102

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Abstract : The rapid evolution of e-commerce is reshaping global retail practices, demanding more agile, responsive, and customer-centric supply chains. Traditional logistics methods often struggle to manage the high volume, intricate dynamics, and fast pace of online retail. This paper explores how Artificial Intelligence (AI) fundamentally transforms e-commerce logistics, emphasizing areas such as demand forecasting, inventory management, warehouse automation, transportation, last-mile delivery, and reverse logistics. AI technologies—spanning machine learning, robotics, predictive analytics, and natural language processing—empower online retailers to operate more efficiently, reduce operational costs, boost customer satisfaction, build resilience, and make informed, data-driven decisions.

Keywords : E-Commerce, Artificial Intelligence, Analytics, Entrepreneurs, Digital, Logistics.

References :

  1. How AI Is Revolutionizing Ecommerce Supply Chains, Harvard Business Review.
  2. Artificial Intelligence in E-Commerce Supply Chain," Deloitte Insights.
  3. The Impact of Artificial Intelligence on Supply Chain Management, McKinsey & Company.
  4. Maddireddy, Bharat Reddy, and Bhargava Reddy Maddireddy.  "Proactive  Cyber  Defense: Utilizing  AI  for  Early  Threat  Detection  and  Risk  Assessment." International Journal of Advanced Engineering Technologies and Innovations 1.2 (2020): 64-83.
  5. Bai,  Chunguang,  and  Joseph  Sarkis.  "A  critical  review  of  formal  analytical  modeling  for  blockchain technology in production, operations, and supply chains: Harnessing progress for future potential." International Journal of Production Economics 250 (2022): 108636.
  6. Bai,  Chunguang,  and  Joseph  Sarkis.  "A  critical  review  of  formal  analytical  modeling  for  blockchain technology in production, operations, and supply chains: Harnessing progress for future potential." International Journal of Production Economics 250 (2022): 108636.
  7. Bai,  Chunguang,  and  Joseph  Sarkis.  "A  critical  review  of  formal  analytical  modeling  for  blockchain technology in production, operations, and supply chains: Harnessing progress for future potential." International Journal of Production Economics 250 (2022): 108636.
  8. Bai,  Chunguang,  and  Joseph  Sarkis.  "A  critical  review  of  formal  analytical  modeling  for  blockchain technology in production, operations, and supply chains: Harnessing progress for future potential." International Journal of Production Economics 250 (2022): 108636.
  9. Manikas,  Ioannis,  Balan  Sundarakani,  and Mohamed  Shehabeldin. "Big  data utilisation and  its  effect  on  supply  chain  resilience  in  Emirati  companies." International Journal of Logistics Research and Applications 26, no. 10 (2023): 1334-1358.
  10. Nozari,  Hamed,  Reza  Tavakkoli-Moghaddam,  Mohammad  Rohaninejad,  and  Zdenek Hanzalek.  "Artificial  Intelligence  of  Things  (AIoT)  Strategies  for  a  Smart  Sustainable-Resilient  Supply  Chain."  In IFIP International Conference on Advances in Production Management Systems, pp. 805-816. Cham: Springer Nature Switzerland, 2023.
  11. https://www.linkedin.com/pulse/ai-driven-supply-chain-optimization-airezolve-vsg4e/
  12. https://www.retailtouchpoints.com/topics/data-analytics/ai-machine-learning/ai-isnt-going

The rapid evolution of e-commerce is reshaping global retail practices, demanding more agile, responsive, and customer-centric supply chains. Traditional logistics methods often struggle to manage the high volume, intricate dynamics, and fast pace of online retail. This paper explores how Artificial Intelligence (AI) fundamentally transforms e-commerce logistics, emphasizing areas such as demand forecasting, inventory management, warehouse automation, transportation, last-mile delivery, and reverse logistics. AI technologies—spanning machine learning, robotics, predictive analytics, and natural language processing—empower online retailers to operate more efficiently, reduce operational costs, boost customer satisfaction, build resilience, and make informed, data-driven decisions.

Keywords : E-Commerce, Artificial Intelligence, Analytics, Entrepreneurs, Digital, Logistics.

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Paper Submission Last Date
31 - December - 2025

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