Celestin, Mbonigaba
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AI-Driven Personalization: Revolutionizing E-commerce with Blockchain and IoT Collaboration Celestin, Mbonigaba
Randwick International of Social Science Journal Vol. 6 No. 2 (2025): RISS Journal, April
Publisher : RIRAI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47175/rissj.v6i2.1147

Abstract

This study investigates the transformative potential of Artificial Intelligence (AI), Blockchain, and the Internet of Things (IoT) in revolutionizing e-commerce personalization. Utilizing a qualitative methodology, it incorporates systematic literature reviews, secondary data analysis, and expert interviews. Findings reveal an 87.5% increase in customer retention rates due to AI-driven personalization from 2020 to 2024, with blockchain adoption reducing fraud cases by 80% and boosting transaction volumes by 540% over the same period. IoT integration achieved a ninefold rise in device use, driving a 45% reduction in logistics costs. The synergy of these technologies has addressed personalization challenges while enhancing security and operational efficiency. The study concludes with a call for adopting integrated frameworks, prioritizing ethical AI models, and scaling IoT adoption to sustain innovation in e-commerce.
Blockchain and IoT: The Dynamic Duo Transforming Global Supply Chains Celestin, Mbonigaba
Randwick International of Social Science Journal Vol. 6 No. 2 (2025): RISS Journal, April
Publisher : RIRAI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47175/rissj.v6i2.1148

Abstract

This research investigates the integration of Blockchain and the Internet of Things (IoT) to transform global supply chains by enhancing transparency, operational efficiency, and security. A qualitative methodology was adopted, combining secondary data analysis, case studies, and expert interviews to explore the applications, challenges, and benefits of these technologies. Major findings revealed that Blockchain reduced fraud by 30% and IoT improved operational efficiency with a 35% reduction in freight tracking delays. The synergistic integration achieved a 27% cost reduction from 2020 to 2024. Despite hurdles such as high initial costs and interoperability challenges, these technologies present immense potential to optimize workflows, enhance real-time monitoring, and promote sustainability in supply chains. Recommendations include investment in scalable frameworks, standardization efforts, and cybersecurity measures to maximize their benefits.
Cryptocurrency Meets IoT: Unlocking New Business Horizons with Machine Learning Celestin, Mbonigaba
Randwick International of Social Science Journal Vol. 6 No. 3 (2025): RISS Journal, July
Publisher : RIRAI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47175/rissj.v6i3.1212

Abstract

This research investigates the integration of cryptocurrency, the Internet of Things (IoT), and machine learning to explore innovative business opportunities. Using a mixed-methods approach, secondary data were analyzed, complemented by interviews and case studies, to evaluate the operational and financial impacts of these technologies. The study found a significant rise in cryptocurrency adoption in IoT systems, increasing from 12% in 2020 to 50% in 2024, driven by the scalability and security of blockchain. Machine learning contributed to a 25% reduction in operational inefficiencies and improved predictive maintenance. Additionally, businesses leveraging these technologies saw annual revenue growth of 20% and operational cost savings of up to 25% by 2024. However, challenges such as regulatory barriers, environmental concerns, and regional adoption gaps remain. The study concludes that fostering clear regulatory frameworks, enhancing infrastructure, and adopting green energy solutions are pivotal for maximizing the potential of these integrations. Key recommendations include investing in advanced IoT and blockchain platforms and promoting global adoption initiatives.