Citation:

Susmitha Nair, 2025. "Sustainable E-Commerce: Leveraging AI, IoT, and Blockchain for Greener Supply Chains ", ESP Journal of Engineering & Technology Advancements  5(2): 182-188.

Abstract:

The accelerated growth of online shopping has revolutionized global markets, transforming logistics networks and supply chain operations. This paradigm has also created intense environmental sustainability issues, especially with regard to excess carbon emission, wastage, and misuse of resources. In face of heightened regulation and rising awareness among consumers, there is now an onus on companies to adopt green practices within their supply chains. The present paper presents a comprehensive assessment of sustainability issues in e-commerce and investigates how emerging technologies, namely Artificial Intelligence (AI), Internet of Things (IoT), and blockchain, support green supply chain management. Through extensive case studies and exhaustive analysis, the paper presents the potential of AI-driven logistics optimization, IoT-based real-time inventory, and blockchain-based transparency for decreasing carbon footprints, improving operational efficiency, and increasing consumer confidence. The research reveals that although such technologies hold great potential for sustainability, there are barriers to implementation, including costs, data protection, and technical issues that need to be overcome. Financial and operational implications of embracing digital, green solutions are also examined by this research, and recommendations for strategy-making for enterprises seeking sustainability while remaining economically viable are provided.

References:

[1] M. A. Islam Mozumder, R. I. Sumon, Z. Khan, S. M. Imtiyaj Uddin, M. O. Khan and H. C. Kim, "AI-Based

[2] Logistics System Overview and a Workflow for Digital Freight Forwarding in Logistics," 2024 26th International Conference on Advanced Communications Technology (ICACT), Pyeong Chang, Korea, Republic of, 2024, pp. 295-299, doi: 10.23919/ICACT60172.2024.10471983.

[3] S. S. Arumugam et al., "IOT Enabled Smart Logistics Using Smart Contracts," 2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS), Toronto, ON, Canada, 2018, pp. 1-6, doi: 10.1109/LISS.2018.8593220.

[4] Y. Tang et al., "Intelligent logistics system architecture design based on edge computing," 2019 Chinese Automation Congress (CAC), Hangzhou, China, 2019, pp. 1682-1685, doi: 10.1109/CAC48633.2019.8996729.

[5] Z. K. Idrissi, M. Lachgar and H. Hrimech, "Blockchain, IoT and AI revolution within transport and logistics," 2022 14th International Colloquium of Logistics and Supply Chain Management

[6] (LOGISTIQUA), EL JADIDA, Morocco, 2022, pp. 1-7, doi: 10.1109/LOGISTIQUA55056.2022.9938035.

[7] S. Chakraborty, T. Chakravorty and V. Bhatt, "IoT and AI driven sustainable practices in airlines as enabler of passenger confidence, satisfaction and positive WOM : AI and IoT driven sustainable practice in airline," 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS), Coimbatore, India, 2021, pp. 1421-1425, doi: 10.1109/ICAIS50930.2021.9395850.

[8] R. Almutairi, G. Bergami and G. Morgan, "Poster: IoTSimSecure: Towards an IoT Simulator Supporting Cyber- Threat Detection Algorithms," 2024 IEEE 8th International Conference on Fog and Edge Computing (ICFEC), Philadelphia, PA, USA, 2024, pp. 102-103, doi: 10.1109/ICFEC61590.2024.00025.

[9] S. Singh, A. Gupta and A. P. Shukla, "Optimizing Supply Chain through Internet of Things (IoT) and

[10] Artificial Intelligence (AI)," 2021 International Conference on Technological Advancements and

[11] Innovations (ICTAI), Tashkent, Uzbekistan, 2021, pp. 257-263, doi: 10.1109/ ICTAI53825.2021.9673265.

[12] S. O. Kediya, D. K. Singh, J. Shukla and A. S. Nagdive, "Analytical Study of Factors Affecting IoT in SCM," 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), Nagpur, India, 2021, pp. 1-4, doi: 10.1109/ICCICA52458.2021.9697145.

Keywords:

Artificial Intelligence, Blockchain, Carbon Footprint, Consumer Trust, Digital Supply Chain, E-commerce, Environmental Impact, Green Technology, Internet of Things, Operational Efficiency, Predictive Analytics, Resource Optimization, Smart Logistics, Supply Chain, Supply Chain Resilience, Sustainability, Sustainable Practices, Transparency, Waste Reduction.