AI Driven Cloud Native Enterprise Retail Platforms for Secure API Workflows and Intelligent Infrastructure Automation
DOI:
https://doi.org/10.15662/IJEETR.2023.0503006Keywords:
Artificial Intelligence, Cloud Native Platforms, Enterprise Retail Systems, Secure API Workflows, Infrastructure Automation, Microservices Architecture, Kubernetes, DevOps, Intelligent Automation, Cybersecurity, Machine Learning, Retail Cloud Computing, API Security, Containerization, Digital TransformationAbstract
The rapid evolution of digital commerce and enterprise retail ecosystems has accelerated the adoption of Artificial Intelligence (AI), cloud-native architectures, and intelligent infrastructure automation. Modern retail enterprises increasingly depend on secure API-driven workflows to manage omnichannel operations, customer engagement, inventory optimization, and real-time analytics. AI-driven cloud-native enterprise retail platforms integrate machine learning, containerization, microservices, and orchestration technologies to create scalable, adaptive, and secure digital infrastructures. These platforms enable organizations to automate operational processes, optimize resource allocation, and improve customer experiences through predictive analytics and intelligent decision-making. Secure API workflows play a critical role in facilitating seamless communication among distributed applications, third-party vendors, payment gateways, and cloud services while ensuring data confidentiality, integrity, and compliance with cybersecurity standards. Intelligent infrastructure automation further enhances operational efficiency by enabling automated monitoring, self-healing systems, dynamic scaling, and continuous deployment. This research examines the architecture, security mechanisms, operational models, and technological frameworks associated with AI-driven cloud-native retail platforms. The study also evaluates the advantages and challenges of integrating AI and cloud-native technologies within enterprise retail environments. The findings indicate that organizations adopting intelligent cloud-native retail infrastructures achieve improved scalability, enhanced security, operational agility, and superior customer satisfaction while facing challenges related to complexity, compliance, and implementation costs.
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