AI-driven service orchestration: Revolutionizing E-commerce with hyper-personalization and auto-scaling

GUNTAKANDLA, ANUSHA REDDY (2025) AI-driven service orchestration: Revolutionizing E-commerce with hyper-personalization and auto-scaling. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 1702-1709. ISSN 2582-8266

AI-driven service orchestration is transforming e-commerce by addressing critical challenges in an increasingly competitive digital marketplace. As global e-commerce expands rapidly, platforms face mounting difficulties with performance bottlenecks during traffic surges, generic customer experiences, and reactive resource allocation. Modern solutions leverage Kubernetes auto-scaling for dynamic resource optimization, AI-powered recommendation engines for hyper-personalization, and predictive analytics for proactive operations. Shopify exemplifies this with intelligent infrastructure management, machine learning for enhanced customer experiences, and AI-driven security systems. Successful implementation requires robust data foundations, optimal architecture design with microservices and API-first approaches, and operational maturity. These technologies create sustainable competitive advantages by ensuring consistent performance during peak periods, delivering personalized experiences that drive conversion, and enabling proactive operations that anticipate demand fluctuations before they occur