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Original Article

Global eCOM: An AI-Enabled Cloud-Native Transformation Framework for Scalable Enterprise Banking Communication, Intelligent Notifications, and Real-Time Customer Engagement

  • Paper ID 343
  • Volume 5, Issue 6
  • Pages 195-200
  • Published Online: November-December 2025
  • 1 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • Murugan Ambalakannu1

1 Director Consulting Services, CGI, USA

Article Information

Published Online
November-December 2025
Pages
195-200
Article Type
Original Article
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Abstract

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Global eCOM Transformation starts an AI-Driven Communication network for trending Cloud-Native Banking systems through Kubernetes Microservices and Kafka Event Streaming. The paper magnify Intelligent Customer Engagement and Real-Time Notification Systems while gives a measurable footing for Composable Banking Architecture. The systems represent the controllable of legacy huge information situations by initial from a pre-2016 MQ Series and Java enterprise rules framework to a include, event-driven online cloud-native platform. The changeover connection microservices, event streaming, artificial intelligence, contextualization, and modern Tailoring to increase the swift, Stability, measurable, and Suitability of Banking Communication Architectureations. These results shows that online cloud-original trendline can gives rulable corporate value beyond technical future developments improvement. The proposed enhanced of world eCOM includes a zero-low time moved from Conventional infrastructure to a flexible architecture, gives online trends without disrupting customer-online services. Future proficiencies include quantum-safe encryption and agentic AI to strengthen security, controlled, personalization, and adaptive client interactions. With an expected reach of more than 50 million cardholders before 2030, the systems gives a mesurable model for corporate banking administrations looking to trendy announcement platforms and gives natural-time, personalized, reliable, and Customer-focused digital interactions

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  • ISSN 2583-1240
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