Algorithmic Opulence: Designing Immersive Phygital Luxury through AI-Driven Augmented Reality

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Authors: K. S. Shibani Shankar Ray, Krishna Kumar Veluri, Durga Madhab Mahapatra
Cited by: 0
References: 13

Abstract

This study introduces LuxVision, a next-generation AI-driven Augmented Reality (AR) system designed to bridge the gap between digital and physical luxury retail experiences. Traditional e-commerce interfaces often fail to convey the tactile quality, material texture, and visual authenticity of luxury products, leading to reduced consumer confidence. LuxVision integrates real-time photorealistic rendering, edge computing, and AI-based personalisation to deliver immersive, adaptive, and context-aware AR visualisations. By combining multimodal sensory inputs, such as gesture, gaze, and lighting data, the system dynamically tailors virtual experiences to user behaviour and environment. Simulation results demonstrate LuxVision’s superior accuracy (88%), precision (85%), recall (86%), and F1-score (87%) compared to conventional AR systems, with latency reduced to 20 ms and stable 60 FPS rendering. These technical improvements translate into smoother interaction, heightened realism, and enhanced user engagement. LuxVision presents a scalable framework capable of redefining digital luxury retail by merging artificial intelligence, computer vision, and immersive visualisation for real-time, personalised consumer experiences.

Fields of Study & Subjects

Augmented Reality Applications Virtual Reality Applications and Impacts Face recognition and analysis

Publication details

Journal / source
RVIM journal of management research.
Pages
53–59
Publication date
1 January 2026