Optimizing SAP Fiori and Oracle VBCS Interfaces with AI Augmented User Experience

Abstract

Enterprise applications play a pivotal role in modern organizations, yet their interfaces often fall short in delivering intuitive, adaptive, and user-centric experiences. SAP Fiori and Oracle Visual Builder Cloud Service (VBCS) represent two leading platforms for enterprise interface design, both of which emphasize usability and efficiency. Despite their strengths, challenges remain around personalization, workflow optimization, and seamless integration with evolving user needs. This paper investigates how artificial intelligence (AI) can augment these platforms to overcome existing limitations and achieve significant gains in user experience (UX). The study introduces an AI-augmented UX framework that leverages predictive analytics, natural language processing (NLP), adaptive interface generation, and intelligent automation. By embedding these capabilities into SAP Fiori and Oracle VBCS, interfaces become more context-aware, personalized, and responsive to user behavior. Comparative analysis reveals that AI-driven enhancements reduce cognitive load, accelerate task completion, and improve adoption rates, particularly in complex enterprise environments. Case studies demonstrate improvements  such as AI-enabled workflow simplification in Fiori and dynamic form generation in VBCS. Findings highlight that AI-integration not only streamlines business processes but also establishes a scalable model for future enterprise UX design. The research concludes with recommendations for organizations seeking to transform digital experiences through AI-driven optimization of enterprise application interfaces.