  In this independent report fAshIon after fashion, we examine the development
of fAshIon (artificial intelligence (AI) in fashion) and explore its
potentiality to become a major disruptor of the fashion industry in the near
future. To do this, we investigate AI technologies used in the fashion industry
through several lenses. We summarise fAshIon studies conducted over the past
decade and categorise them into seven groups: Overview, Evaluation, Basic Tech,
Selling, Styling, Design, and Buying. The datasets mentioned in fAshIon
research have been consolidated on one GitHub page for ease of use. We analyse
the authors' backgrounds and the geographic regions treated in these studies to
determine the landscape of fAshIon research. The results of our analysis are
presented with an aim to provide researchers with a holistic view of research
in fAshIon. As part of our primary research, we also review a wide range of
cases of applied fAshIon in the fashion industry and analyse their impact on
the industry, markets and individuals. We also identify the challenges
presented by fAshIon and suggest that these may form the basis for future
research. We finally exhibit that many potential opportunities exist for the
use of AI in fashion which can transform the fashion industry embedded with AI
technologies and boost profits.
