DATA-DRIVEN APPROACHES IN FASHION DESIGN: STYLE CREATION THROUGH ALGORITHMS

Xülasə

This article explores the influence of modern technologies—particularly data-driven directions and artificial intelligence (AI)—on the fashion industry. While data-driven design is a growing global trend, it remains relatively underexplored in Azerbaijan. The main goal of the research is to examine the methods of style formation through algorithms and to evaluate the potential for implementing such technologies in the local fashion sector. 

Within the research framework, the theoretical foundation of data-driven design and data identification methods in fashion (such as social media, customer behavior, and e-commerce analytics) have been studied. The study also analyzes the work of digital designers using AI tools such as DALLE, Midjourney, Vue.ai, and Fashwell, along with the styles they produce. In addition, personalized fashion experiences and possible future ethical challenges in this direction are examined.