Using Artificial Intelligence and Machine Learning to Address Size and Fit Issues in Online Fashion

This paper examines how artificial intelligence (AI) and machine learning (ML) technologies can address the persistent challenge of size and fit issues in online fashion retail.With return rates hitting 30-40% in ecommerce apparel-primarily due to sizing inconsistencies-retailers face significant operational and financial hurdles.This paper synthesizes current approaches and emerging technologies that use AI/ML to provide more accurate size recommendations, reduce returns, and improve customer satisfaction.Through analysis of predictive modeling techniques, computer vision applications, and natural language processing of customer reviews, this paper demonstrates how AI can transform sizing accuracy in digital retail.Findings suggest that these technologies can reduce return rates by 10-20% while improving customer experience.We conclude by proposing an integrated framework for retailers and identifying implementation challenges in this evolving field.