Textile Insight

Asked to provide examples off the top of his head for AI use in the textile industry, Ward suggested companies using satellite imagery to analyze the health of a cotton crop located half a world away compared to the past three seasons. Or in a factory setting, how AI can monitor the health of machines, allowing for more timely maintenance to mitigate problems that would disrupt productivity. Experiencing AI firsthand is already hap- pening on the industry trade show circuit. e Coterie trade fair held at the Javits Center in New York City in February featured the AI Technology Lounge By Coterie, in partnership with Arcadia Earth. Situated in a busy section of the convention hall, the AI Lounge show- cased artificial intelligence and augmented reality to highlight how machine learning and virtual experiences can reshape fashion by improving performance and productivity to lower costs while at the same time support sustainability goals by reducing pollution and relying on fewer resources. e Lounge con- sisted of a variety of small installations that presented technologies for virtual try-on and design, automation in textile manufacturing, customer service, among others. Arcadia Earth founder, Valentino Vettori, stated, "No doubt AI has as we all know has, will and will continue to have, a large impact on businesses, and our intention along with Coterie is to bring this innovation not only to buyers, retailers and designers but to ev- eryone who wants to understand what's the next thing coming." Small Steps Toward a Big Impact Despite a surge in advancements, an array of confirmed benefits and considerable buzz, AI has not won over the textile community. Having reached out to 15 execs in the func- tional fabric sector to take the temperature of AI usage, the response was mostly tepid. Some firms responded having zero involvement with AI, while others expressed tiptoeing into AI utilization primarily via creative pursuits, sidestepping supply chain purposes completely. YKK was the exception. e company has been using the technology for a while in some of its most advanced production equipment, according to Brian La Plante, senior manager sustainability, YKK. "We are now exploring its application in the area of production efficiency, and for use in marketing content creation. AI is also being deployed in one of our products directly through an application that consumers can interface with." When asked whether AI could potentially prevent a repeat of the Covid global supply chain crisis, La Plante, responded, "while the technology might have better foreseen the whipsaw effect on global supply chains it would have required many companies on both the demand side and the supply side to be running similar AI programs to smooth out the demand spike. Because of the opaqueness of the textile value chain, its decentralization, and reliance on sub- contractors I'm not sure how even the best trained AI program could have processed the ever-changing variables. How does a program determine that the city of Shanghai is going to be locked down for two months and which businesses can operate which ones can't? To top that, what do you use to train the AI model? While you can certainly use data from the recent Covid crisis, who knows how relevant that will be for the next unknown crisis?" Where La Plante does see AI playing a role is in brand side demand forecasting and order placement. "is is an area where a well-trained AI might have been able to see the overproduction of product earlier and cut off orders in time to prevent an overstock of products." It's still early days of AI adoption by textile suppliers and how the technology is used ultimately may differ, but one thing advocates like La Plante, Ward and Advaithi agree on, is that AI is going to have a big impact on the textile supply chain. n textileinsight.com Spring 2024 ~ Textile Insight • 21 AI is a tidal wave that is coming and absolutely going to have a big impact. Quality control AI improves fabric inspection, thus reducing defects enhancing product quality. Predictive maintenance AI predicts machine maintenance needs, reducing downtime and costs. Production efficiency AI optimizes processes, boosting productivity and resource utilization. Demand forecasting AI enables accurate demand predictions and efficient inventory management. Sustainability AI minimizes energy wastage and consumption, promoting eco-friendly practices. Customization AI facilitates mass customization, meeting individual customer preferences. Supply chain optimization AI enhances supply chain management, reducing lead times and costs. Worker safety Collaborative robots with AI improve workplace safety. Data analytics AI-driven analytics provide insights for process optimization and decision-making. Innovation AI assists in textile design and innovation, accelerating product development. Source: Journal of Textile Engineering & Fashion Technology, Published: December 21, 2023 10 Ways AI Can Assist the Textile Industry

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