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
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
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 :
- How AI Is Revolutionizing Ecommerce Supply Chains, Harvard Business Review.
- Artificial Intelligence in E-Commerce Supply Chain," Deloitte Insights.
- The Impact of Artificial Intelligence on Supply Chain Management, McKinsey & Company.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- https://www.linkedin.com/pulse/ai-driven-supply-chain-optimization-airezolve-vsg4e/
- 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.