Designing Enterprise Innovation through Cloud Native Platforms for Autonomous AI and Intelligent Supply Chains
DOI:
https://doi.org/10.15680/IJCTECE.2026.0903014Keywords:
Cloud-native platforms, autonomous AI, intelligent supply chains, microservices, Kubernetes, serverless computing, digital transformation, enterprise innovation, edge computingAbstract
Enterprise innovation is undergoing a fundamental transformation driven by cloud-native platforms and the emergence of autonomous artificial intelligence systems. Organizations are increasingly shifting from monolithic IT architectures to distributed, microservices-based ecosystems that enable rapid scalability, continuous delivery, and real-time intelligence. In parallel, supply chains are evolving into highly interconnected, data-driven networks that require adaptive decision-making capabilities and resilience against disruptions. This paper explores how cloud-native platforms serve as foundational enablers for enterprise innovation, particularly in the context of autonomous AI systems and intelligent supply chain management. It examines how containerization, Kubernetes orchestration, serverless computing, and event-driven architectures collectively support the development of self-managing AI agents capable of optimizing logistics, forecasting demand, and improving operational efficiency. The discussion also highlights the convergence of AI, edge computing, and cloud ecosystems in enabling real-time analytics and autonomous decision loops across supply networks. Furthermore, the study considers challenges such as data governance, interoperability, security, and ethical implications of autonomous decision systems. By synthesizing existing literature and conceptual frameworks, the paper demonstrates that cloud-native paradigms not only enhance technological agility but also redefine enterprise competitiveness in the era of intelligent automation. Ultimately, it argues that organizations that strategically integrate autonomous AI within cloud-native infrastructures will achieve superior adaptability, cost efficiency, and innovation capacity in increasingly complex global supply chains
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