Fashion Psychology: How AI Predicts Consumer Trends

Authors

  • Dr. Athma Jayaprakash Author

DOI:

https://doi.org/10.65579/31075037.099

Keywords:

Fashion psychology, Artificial intelligence, Consumer behavior, Trend prediction, Machine learning, Personalization, Digital fashion analytics, Ethical AI

Abstract

The artificial intelligence implementation in the fashion industry has been a radical change and especially in the context of learning and predicting consumer behaviour. The given research paper discusses the overlap between fashion psychology and artificial intelligence and how AI-based technologies can forecast the fashion tendencies of consumers through analysing psychological, social, and cultural factors. Consumer behaviour is very dynamic as fashion preferences are highly manipulated by emotions, identity, social belonging, and personal values. Conservative trend forecasting techniques that heavily take into account historical context and human judgment may find it difficult to reflect the blistering shift in consumer preferences in an intensely globalized and digital market.

This paper identifies the ways AI solutions are transforming trend forecasting to include machine learning algorithms, predictive analytics, natural language processing and computer vision to process vast amounts of consumer data on social media, online searches, e-commerce interchanges and visual content. The AI systems will not only identify the emerging trends faster and more accurately by decoding the trends in colour preferences, style adoption, purchasing behaviour, and sentiment. The paper further discusses how fashion psychology can be used to improve AI models as the authors focus on how psychological motivations (self-expression, social influence, and emotional response) can be used to enhance predictive reliability.

Moreover, the study explains how AI-based trend forecasting applies to fashion brands, such as to control inventory, tailored marketing approaches, less waste, and quick response to customer needs. There are also ethical issues associated with data privacy, algorithmic bias, and manipulation of consumers, which show that AI should be implemented responsibly.

The paper finds out that the combination of fashion psychology and artificial intelligence is an effective strategy in discerning consumer behaviour and predicting trends. With the option of integrating the knowledge of human psychology and data-driven intelligence, AI has provided a more holistic, adaptable, and sustainable system of decision-making in the modern business of fashion.

 

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Published

2025-12-05