Venkata Ramachandra Karthik Chundi is a Staff Software Engineer at GE Vernova, where he leads the integration of cloud-based enterprise systems with  real-time operational data for global electric markets. With over 16 years of experience spanning Oracle ERP Cloud, Oracle  E-Business Suite, Oracle Integration Cloud, and enterprise automation, he brings deep expertise in architecting large-scale digital  transformation initiatives across the energy, financial services, and manufacturing sectors.  Prior to GE Vernova, Venkata Ramachandra Karthik Chundi served as a Senior Consultant at Deloitte for over six years, leading Oracle ERP Cloud and EBS  implementations for Fortune 500 clients. His work has delivered measurable outcomes including $500K in annual savings through  AI-driven automation and efficiency improvements of up to 85% through robotic process automation frameworks.  Venkata Ramachandara Karthik Chundi is a published researcher, with work appearing in the London Journal of Research in Computer Science and Technology, and an  active contributor to the global academic community. He serves as a peer reviewer for several IEEE and international conferences,  a jury member for competitive innovation programs, and a mentor for emerging technologists.  He has delivered keynote addresses at ICCETM 2025, AICCoNS 2026, and ICRTETBM 2026, and served as Session Chair across multiple  international forums on engineering, AI, and technology management.  Venkata Ramachandra Karthik Chundi holds a Bachelor of Technology in Information Technology from Sri Venkateswara University, India.

Title:  AI-Powered Sustainability Integration: Transforming Retail and Manufacturing Through Enterprise Resource Planning Solutions Abstract: This article explores how artificial intelligence powers sustainability initiatives within enterprise resource planning systems for the retail and manufacturing sectors. As sustainability transforms from a peripheral concern to a strategic imperative, organizations face interconnected challenges in energy consumption, resource utilization, and supply chain complexity. AI-enabled solutions address these challenges through intelligent inventory management, sustainable supply chain orchestration, energy optimization, and predictive maintenance in retail environments. In manufacturing contexts, AI applications drive energy efficiency, material optimization, and circular manufacturing approaches. Beyond environmental benefits, these technologies deliver substantial business value through operational cost reduction, enhanced brand reputation, regulatory compliance, and supply chain resilience. The convergence of AI with complementary technologies like blockchain, IoT, and digital twins represents emerging trends that will shape future sustainability practices, while advanced consumer engagement models create new opportunities for environmental impact. Together, these applications demonstrate how technology integration can simultaneously advance environmental objectives and business performance.