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Behavioural AI for Sustainable Wardrobes: Insights and Innovations in Fashion Tech

Behavioural AI for Sustainable Wardrobes: Insights and Innovations in Fashion Tech
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Author(s): Razia Nagina (Lovely Professional University, India)
Copyright: 2026
Pages: 36
Source title: Promoting Sustainable Consumption in Fashion With AI
Source Author(s)/Editor(s): Luzia Arantes (Águeda School of Technology and Management, University of Aveiro, Portugal & Polytechnic University of Cávado and Ave, Portugal)
DOI: 10.4018/979-8-3373-5525-2.ch008

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Abstract

This chapter explores how behavioural science and AI can be integrated to foster sustainable wardrobes by addressing overconsumption and high return rates in fashion e-commerce. It pursues four objectives: linking behavioural theories (nudges, habits, social influence) to AI design; assessing tools like virtual try-ons, recommender systems, and sustainability apps; identifying interventions to reduce excess buying and returns; and providing strategic brand guidelines. Using literature, industry cases (ASOS, Zalando, H&M, Patagonia, Nike), and a survey of 300 shoppers, the study finds fit uncertainty, promotions, and social influence drive unsustainable behaviours. Consumers respond positively to AI-driven size tools and try-ons, with moderate willingness to pay premiums for verified sustainable products. The chapter offers actionable recommendations to align commercial objectives with measurable sustainability outcomes.

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