“Are AI and Bots the New Fashion Trendsetters?”

AI is transforming fashion by designing clothes, creating ads, and tracking purchasing trends. It can generate designs and predict consumer behavior, but it’s still limited when it comes to true creativity and understanding cultural nuances. While AI excels at data processing and efficiency, it struggles with the emotional and artistic elements that define fashion. For now, the human touch is still crucial in fashion’s design and cultural relevance.

AI has revolutionized how we interact with fashion on social media. Spend a few seconds browsing Instagram for a particular item, like a striped, charcoal-grey, crossbody bag made from recycled plastic bottles, and suddenly your feed becomes flooded with similar items. Brands selling anything remotely related — striped bags, grey bags, crossbody bags, or eco-friendly accessories — will make their way into your feed. Instagram’s algorithm takes over, presenting “What’s In My Bag” videos, and celebrities flaunting high-end bags like Birkins or Cabat clutches pop up in your Endless Scroll. It’s a digital shopping spree, fueled by AI’s ability to track your interests and suggest endless options.

Coperni’s Autumn/Winter ’23 campaign pushed the boundaries of fashion marketing by using an avatar of Lila Moss, the daughter of supermodel Kate Moss, to showcase three million possible looks. This innovative move reflects how AI is blending the digital and physical worlds, offering endless possibilities for fashion designers and brands. By using AI-generated avatars, Coperni not only revolutionized the presentation of their collection but also highlighted the power of technology in pushing creativity, sustainability, and customization in the fashion industry.

The use of Lila Moss’s avatar in Coperni’s Autumn/Winter ’23 campaign is part of a growing trend in the fashion world, where AI and digital innovation play a major role in the creation and marketing of clothing. This move challenges traditional fashion shows and photoshoots by offering a fully customizable experience. AI allows brands to generate countless variations of their designs without the limitations of physical models or locations, reaching a wider and more diverse audience. Moreover, it opens the door for hyper-personalized fashion experiences, where consumers can see how clothes might look on them without ever stepping foot in a store.

AI is also reshaping sustainability in fashion by reducing the need for physical samples and excessive production. With virtual models and AI-generated collections, designers can test and refine their designs without wasting resources. As the fashion industry continues to explore AI’s potential, these advancements are not only changing how fashion is created and marketed, but also raising questions about the future of creativity, authenticity, and human connection in the digital age.

Mukesh Singh Profile He is an IITian, Electronics & Telecom Engineer and MBA in TQM with more than 15 years wide experience in Education sector, Quality Assurance & Software development . He is TQM expert and worked for numbers of Schools ,College and Universities to implement TQM in education sectors He is an author of “TQM in Practice” and member of “Quality circle forum of India”, Indian Institute of Quality, New Delhi & World Quality Congress . His thesis on TQM was published during world quality congress 2003 and he is also faculty member of Quality Institute of India ,New Delhi He is a Six Sigma Master Black Belt from CII. He worked in Raymond Ltd from 1999-2001 and joined Innodata Software Ltd in 2001 as a QA Engineer. He worked with the Dow Chemical Company (US MNC) for implementation of Quality Systems and Process Improvement for Software Industries & Automotive Industries. He worked with leading certification body like ICS, SGS, DNV,TUV & BVQI for Systems Certification & Consultancy and audited & consulted more than 1000 reputed organization for (ISO 9001/14001/18001/22000/TS16949,ISO 22001 & ISO 27001) and helped the supplier base of OEM's for improving the product quality, IT security and achieving customer satisfaction through implementation of effective systems. Faculty with his wide experience with more than 500 Industries (Like TCS, Indian Railways, ONGC, BPCL, HPCL, BSE( Gr Floor BOI Shareholdings), UTI, ONGC, Lexcite.com Ltd, eximkey.com, Penta Computing, Selectron Process Control, Mass-Tech, United Software Inc, Indrajit System, Reymount Commodities, PC Ware, ACI Laptop ,Elle Electricals, DAV Institutions etc), has helped the industry in implementing ISMS Risk Analysis, Asset Classification, BCP Planning, ISMS Implementation FMEA, Process Control using Statistical Techniques and Problem Solving approach making process improvements in various assignments. He has traveled to 25 countries around the world including US, Europe and worldwide regularly for corporate training and business purposes.
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