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Advancing the customer journey: sustainable and technological innovations in fashion - visual similarity discovery with Gpt-4, a comparative study in fashion product recommendations
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Resumo(s)
This research explores scalable methods for assessing apparel carbon emissions and the effects
of communication strategies on consumer decisions in sustainable fashion. It introduces a novel
approach to emissions assessment and demonstrates how the presentation of carbon footprint
information impacts consumer willingness to pay. Key findings include the significant role of
framing in consumer perception and the competitiveness of OpenAI’s GPT-4 as an easy-to-use
fashion recommender system. The research provides actionable insights for the fashion
industry, highlighting the necessity of both effective communication and innovative AI
technologies to enhance sustainability and market competitiveness.
Descrição
Palavras-chave
Visual similarity discovery Fashion recommender systems Machine learning Artificial intelligence Ai in e-commerce Sustainability Carbon footprint Eco-friendly fashion Carbon accounting