A Comprehensive Review of Artificial Intelligence-Driven Innovations in Fashion Retail for Personalized, Predictive and Sustainable Shopping Experiences

Abstract

The rapid evolution of the global fashion retail industry has created increasing demand for intelligent, data-driven solutions that enhance personalization, increase predictive accuracy, and facilitate sustainable shopping experiences. In a time of rapidly shifting consumer preferences and the growth of digital commerce, traditional retail strategies that rely on manual trend prediction, static customer profiling, and fragmented decision making processes are no longer adequate. This review aims to examine and critically analyse modern artificial intelligence (AI) tools utilized in fashion retail, such as computer vision for product recognition, AI-powered trend forecasting, personalized recommendation systems, and sustainability-focused decision support systems. Major academic databases were used to conduct a systematic literature review of peer-reviewed studies published between 2018 and 2025, guaranteeing thorough coverage of the technological developments influencing contemporary retail practices. Based on the analysis and synthesis of findings reported in the reviewed studies, AI-driven innovations are shown to improve customer engagement, support inventory planning, reduce overproduction, and enhance the ability to predict market shifts, although the reported outcomes vary across application areas and study designs. Additionally, several studies indicate that integrated AI systems enable enhanced user interaction across omni channel platforms by supporting more personalized shopping experiences. Despite these developments, issues related to methodological consistency, real-world deployment, and dataset diversity are repeatedly identified in the reviewed literature, highlighting the need for further research and refinement. This review consolidates existing evidence, identifies key research gaps, and proposes a conceptual framework to support future AI-enabled fashion retail solutions.