Year: 2025
Type: article
Abstract: The modern marketing research in the fashion industry is influenced by artificial intelligence, which helps in the study of the trends in the consumer aspects, prediction of the buying behavior and personalization of marketing strategies. Also, intelligent algorithms not only perform the automation of processing the large datasets but also are used for identifying the patterns in consumer preferences that are hidden and that cannot be detected by the traditional methods. By using AI with machine learning, market trend forecasting has become far more accurate and is particularly important in the fast-moving fashion industry. The research has proved that implementation of AI-based analytics makes it possible to optimize marketing budgets, make advertising campaigns more efficient, and make brand strategy work with great speed in accordance with trends. To examine the hypothesis, an econometric panel data model was created to analyze financial data for ten top fashion brands between the year 2020 and 2024 from different countries. Analytics supported by AI and influencer practices help customers adopt trends that boost sales in the fashion business according to this research. Current research shows advertising funds together with social media connections and sustainability projects benefit sales results, yet these results depend on client price awareness and market circumstances. The current methodology works in a step-by-step way by taking information from financial reports of companies plus details from market analysis plus economic records. The current analytical system uses panel data regression to understand how different marketing and economic factors connect with each other. The chosen model structure deals with product variation among different brands and during different time periods to produce reliable results. Current research faces difficulties in using secondary data while trend adaptation measurements may not always be accurate and customer feelings are not included in the research
Source: SCIENTIA FRUCTUOSA
Author: Marianna KONOPLIANNYKOVA
Institution: State University of Trade and Economics
Language: English
Subfield: Marketing
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4411212284