This research article proposes an integrated AI platform designed to revolutionise the apparel industry. The platform, envisioned as a comprehensive ecosystem, aims to enhance every stage of the apparel value chain, from design ideation to marketing and supply chain management. The architecture is built around three core components: an AI-Powered Design Studio, an Intelligent Production aspiration gap between desired and attainable styles. The Intelligent Production Latent Style algorithm, provides personalised product recommendations, marketing messages, and promotions. An Automated Content Generation Engine generates marketing assets (product descriptions, social media posts, email copy) at scale, while a Unified Consumer Insights Platform provides real-time market analysis. Conversational AI, through chatbots and virtual stylists, enhances customer support and creates personalised interactions. The use of 3D digital twins and virtual prototyping, including virtual try-on (VTO) capabilities, enhances consumer engagement and reduces return rates. The article concludes with a phased implementation roadmap, prioritising data infrastructure, key modules with high ROI (such as waste reduction), and subsequent integration of generative design and personalisation. The overall goal is a symbiotic relationship between human creativity and AIs efficiency, resulting in a future-ready apparel industry characterised by enhanced speed, sustainability, and personalisation. Case studies of industry leaders like Zara, Stitch Fix, H&M, and Nike illustrate the successful application of similar AI strategies.
P. K. Majumdar (Sat,) studied this question.