The Use of Artificial Intelligence in the Nail Industry: from Trend Forecasting to Process Automation

Abstract

This article examines the potential and specific applications of artificial intelligence (AI) tools in the nail industry, focusing on trend forecasting and process automation. The relevance of this topic arises from the growing imbalance in the industry: clients increasingly demand personalized services and fast service delivery, while salons struggle with a shortage of skilled professionals and outdated demand forecasting methods. The purpose of this study is to systematize scholarly and expert perspectives on the integration of AI to address these challenges, identifying key technological and ethical concerns. The main contradiction lies in the tension between the economic efficiency of automation (e.g., reducing service time) and the risks of service dehumanization (potential loss of customer loyalty due to diminished emotional interaction). The findings suggest that AI-driven solutions—such as robotics and predictive trend analytics—can significantly transform and enhance the industry. However, successful implementation requires hybrid models in which algorithms complement rather than replace human professionals. The study also includes an analysis of specific case studies (Umia, Clockwork) that highlight the synergy between intelligent systems and the "creative core" of beauty services. Special attention is given to the challenges associated with AI integration. The insights presented will be valuable to beauty salon owners, developers of beauty technologies, and researchers investigating AI’s impact on niche service sectors.