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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Driven Consumerism: How Artificial Intelligence Shapes Fast Fashion Buying Behaviors

Zenodo (CERN European Organization for Nuclear Research)
Forensic and Genetic Research
article

AI-Driven Consumerism: How Artificial Intelligence Shapes Fast Fashion Buying Behaviors

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Responsible consumption and production
Openalex Percentile: Top 52%
Forensic and Genetic Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.