AI-Driven Consumerism: How Artificial Intelligence Shapes Fast Fashion Buying Behaviors
Artificial Intelligence (AI) is reshaping the fast fashion industry by influencing consumer behavior through personalized recommendations, predictive analytics, and efficient supply chain management. AI-driven algorithms analyze vast amounts of consumer data to forecast trends, optimize pricing, and create targeted marketing strategies. This technological advancement fosters impulse buying, increases product turnover, and contributes to shorter fashion cycles. At the same time, AI aids in real-time inventory management, reducing waste and overproduction. However, concerns surrounding ethical implications, sustainability, and data privacy persist. This study examines AI’s impact on fast fashion consumerism using secondary data from industry reports, academic research, and market analysis. Findings reveal that AI fuels mass consumption by continuously shaping consumer desires, reinforcing the rapid nature of fast fashion. The paper also discusses potential sustainable solutions and ethical approaches to balance AI-driven consumer engagement with responsible consumption.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-28
- DOI
- https://doi.org/10.5281/zenodo.15209065
- Primary Topic
- Forensic and Genetic Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00