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SUSTAINABLE E-COMMERCE: ARTIFICIAL INTELLIGENCE SOLUTIONS FOR REDUCING CARBON FOOTPRINT IN ONLINE SHOPPING

*John T Abraham, & **Swapna K Cherian

*Dean and Head, Department of Computer Science, Bharata Mata College, Kochi, Kerala, India.

**Professor and Head, Department of Commerce, MSM College, Kayamkulam, Kerala, India.

Abstract


Global online retail has changed as e-commerce has expanded rapidly; however, the growth of e-retail has created new environmental challenges. This article examines the potential of artificial intelligence (AI) technologies to reduce the carbon footprint associated with online shopping. By analysing advanced AI-driven strategies in supply chain optimisation, logistics efficiency, and sustainable operational practices, the study explores how emerging technologies can enhance environmental responsibility within the e-commerce sector. The result demonstrates how Artificial Intelligence can contribute to sustainable growth and awareness related to environmental conservation within global retail networks.

 

Keywords


sustainable e-commerce, artificial intelligence, carbon footprint reduction, machine learning, and green technology.

 

References


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World Economic Forum. (2023). Net-Zero e-Commerce 2030 Roadmap. Geneva, Switzerland: WEF.

 

To cite this article


John T Abraham, & Swapna K Cherian. (2025). Sustainable E-Commerce: Artificial Intelligence Solutions For Reducing Carbon Footprint In Online Shopping. John Foundation Journal of EduSpark, 7(4), 86-94.

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