Opinion

Embracing AI in Fashion: A Fusion of Artistry and Algorithm

Emily M Hunt¹* and Isabel E Hunt²

¹Mechanical Engineering, College of Engineering, West Texas A&M University, USA

²Computer Science, College of Engineering, West Texas A&M University, USA

Submission: October 13, 2023;Published: October 26, 2023

*Corresponding author: Emily M Hunt, Mechanical Engineering, College of Engineering, West Texas A&M University, USA

How to cite this article: Emily M Hunt* and Isabel E Hunt. Embracing AI in Fashion: A Fusion of Artistry and Algorithm. Curr Trends Fashion Technol Textile Eng. 2023; 8(5): 555746. DOI: 10.19080/CTFTTE.2023.08.555746

Keywords: Innovation; Fashion; Artificial Intelligence; Human Intelligence; Machine Learning; Crafts Designs; Fabric

Opinion

Our distinct perspective, as a female engineer and an undergraduate computer science student who are both fashion enthusiasts, is shaped by our unique vantage points at the intersection of engineering, innovation, and fashion. We have personally witnessed how technology, especially Artificial Intelligence (AI), has the power to transform industries and reshape them. We must channel this computational power optimally within the ever-evolving tapestry of the U.S. fashion industry. AI, essentially the magic wand of the tech world, allows us the capacity of simulation of human intelligence in machines. This blending of machine speed with human-like reasoning has been an attraction for many sectors, promising enhanced efficiency, reduced operational costs, and a profound depth of consumer insights. This arsenal of benefits translates into an almost invincible competitive advantage.

For an industry as inherently human and creativity laden as fashion, the initial reactions to AI were understandably a mixture of intrigue and apprehension. Could the essence of creativity, so fundamental to fashion, be replicated or enhanced by machines? This question prevented early adaptation of AI for many in fashion. It is crucial, however, to distinguish between mimicking and augmenting. Ideally, AI isn’t used as a way to overshadow human genius but to augment it, serving as a digital toolbox for enhancement. The term “Augmentative Intelligence [1]” adeptly describes this philosophy and is where the true beauty of AI in fashion lies. Machine learning, data-rich algorithms, and deep insights serve to bolster the innate capabilities of designers and businesses. It isn’t about replacing the designer’s touch but about providing them with an enriched palette of data-driven insights with which to paint their visions.

Online retail, the beating heart of modern-day shopping, is a prime beneficiary. By analyzing consumer behavior using data science, AI can personalize online shopping experiences to an unprecedented degree. Brands, while appreciating the merits of AI, have adopted diverse stances. For some steeped in exclusivity and privacy, like Goyard, expansive AI integration might not align with their ethos. However, giants like Moët Hennessy Louis Vuitton (LVMH) see the enormous potential of AI in fine-tuning their offerings, making each online interaction resonate with personalized luxury.

This synergy between computational innovation and fashion creativity isn’t just poetic but also profoundly pragmatic. For instance, when traditional design mechanisms were disrupted by unforeseen challenges like the pandemic, AI surfaced as a lifeline. It facilitated continuity in design by analyzing a medley of inputs - past brand collections, prevailing trends, and even customer preferences. A stellar example is ‘Project Muze [2]’, a collaboration between online retailer Zalando [3] and Google. This AI-driven venture crafts designs by deep diving into customer preferences, serving almost as a digital muse for designers. Project Muze is based on Google’s open-source platform TensorFlow [4]. Together with Zalando and the UK-based production company Stink digital [5] this combined AI venture developed a predictive engine for design that consists of a neural network algorithm modeled from the human brain and a set of aesthetic parameters. Using large sets of data on color, texture, and style from over 600 fashion experts, the neural network was able to make creative, predictive decisions. Through multiple iterations, it was able to connect these data sets to people with similar preferences.

Fashion giants have taken note and are strategically embedding AI into their blueprints. Zara’s AI integration, and the subsequent surge in its profits, even amidst pandemic-induced turbulence, is a testament to AI’s transformative potential [6]. However, the story isn’t just about Zara. From Tommy Hilfiger and Dior to H&M, the embrace of AI is evident. GAP’s acquisition of the AI startup, Context-Based 4 (CB4) in 2021 further solidifies the trajectory toward AI-augmented retail experiences [7]. Context Based 4 solutions are used by other US-based retailers like Levi’s and Urban Outfitters providing advanced AI and machine learning tools to make predictive analytics and demand sensing to support sales and streamline the customer experience. With a staggering 96% of retail executives, as per a 2021 Juniper Research study, eyeing AI investments, and 40% deeming it indispensable, the writing is on the wall: AI is not just a trend but the future. The potency of AI-driven forecasting which reduces errors by 50%, only cements its importance further [8].

The creative domain of fashion does not remain untouched by advancements in computing and data science. “AI designers,” armed with analytics, can whip up designs that are not just novel but also deeply resonant. They analyze a myriad of elements, from fabric and cut to social media popularity, churning out designs that are fresh yet familiar. Manufacturing, which is the backbone of the industry, is experiencing a rejuvenation through the use of AI. The human-robotic interactions occurring on manufacturing house floors across the globe are ensuring impeccable quality and rapid time-to-shelf metrics.

Conclusion

As we navigate this exciting confluence of artistry and algorithms, the vision is clear: a fashion world where human creativity reigns supreme, but with a digital muse by its side. Embracing this harmonious fusion is not just strategic but also visionary, heralding an era where fashion is not just worn but also deeply experienced..

References

1. (2022) AI in Fashion: An Extensive Guide to All Applications for Retail.
2. (2016) Project Muze: Fashion Inspired by you, designed by code.
3. (2023) Zolando website.
4. (2023) Create production-grade machine learning models with TensorFlow.
5. (2023) Stink Studios: We keep brands connected to culture through design, technology, and bold ideas.
6. (2023) Fashion Machine Learning Applications and Examples.
7. (2021) Gap buys artificial intelligence start-up Context-Based 4 Casting, Real Insight Network.
8. (2021) Retail Info Systems, Powering Intelligent Commerce, Retail 2021: AI Ushers in New Decade.