{"id":62677,"date":"2024-06-03T13:30:06","date_gmt":"2024-06-03T17:30:06","guid":{"rendered":"https:\/\/textiles.ncsu.edu\/?p=62677"},"modified":"2024-08-01T13:10:00","modified_gmt":"2024-08-01T17:10:00","slug":"heres-how-the-fashion-industry-is-using-ai","status":"publish","type":"post","link":"https:\/\/textiles.ncsu.edu\/news\/2024\/06\/heres-how-the-fashion-industry-is-using-ai\/","title":{"rendered":"Here\u2019s How the Fashion Industry Is Using AI"},"content":{"rendered":"\n\n\n\n\n

This article was originally published by members of the Wilson College of Textiles\u2019<\/em><\/strong> Fashion Textile and Business Excellence Cooperative<\/em><\/strong><\/a>.<\/em><\/strong><\/p>\n\n\n\n

Nearly every industry is poised to undergo an unprecedented transformation with the introduction of artificial intelligence (AI). AI, in simple terms, refers to technology, often in the form of computer programs, designed to replicate the human brain\u2019s ability to perform tasks and continuously improve. <\/p>\n\n\n\n

Generative AI, powered by deep learning algorithms, is making a significant impact on fashion brands. This advanced technology has the capacity to comprehend patterns within data and generate entirely new examples of text, images and even video (Bain, 2023). <\/p>\n\n\n\n

Because of its ability to create new content, the fashion industry is integrating its technology into nearly all of its processes in some way, from design and product descriptions to product recommendations and 3D design (Mcdowell, 2023a). Table 1 provides a few real-world examples of how AI is already being used in the industry. <\/p>\n\n\n\n

Table 1.<\/strong> Applications of Generative AI in the Fashion Industry<\/p>\n\n\n\n

Category<\/th>How it works<\/th>Example<\/th><\/tr><\/thead>
Fashion Design<\/td>\u2022 Transforms textual descriptions or uploaded images into illustrations
\u2022 Adjusts these designs before production<\/td>		\u2022 Cala\u2019s tool with DALL-E technology 
\u2022 Tommy Hilfiger\u2019s AI-Assisted Design Collaboration with IBM and the Fashion Institute of Technology
\u2022 Project Muze by Google and Zalando<\/td><\/tr>
Visual Content and Marketing Imagery<\/td>\u2022 Generates advertising and marketing content using given parameters or inputs 
\u2022 Text, images and videos are common outputs<\/td>		\u2022 Stitch Fix\u2019s AI visuals
\u2022 Casablanca\u2019s Spring\/Summer 2023 campaign
\u2022 Revolve\u2019s AI-driven ad  campaign<\/td><\/tr>
Copywriting<\/td>\u2022 Generates copy based on keywords and instructions provided by the user 
\u2022 Streamlines the process of creating product descriptions, marketing emails and other written content<\/td>		\u2022 Adore Me\u2019s AI optimization
\u2022 Product descriptions for Search Engine Optimization (SEO)<\/td><\/tr>
Shopping Assistants<\/td>\u2022 Utilizes natural language processing to interact with customers as chatbots
\u2022 Offers product recommendations and provides information<\/td>		\u2022 Kering\u2019s experimental KNXT platform
\u2022 Luxury personal shopper powered by ChatGPT<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

AI in design<\/strong><\/h3>\n\n\n\n

Generative AI has the power to revolutionize fashion design. Designers can harness AI image generators like DALL-E, Midjourney or Stable Diffusion to bring their creative visions to life. <\/p>\n\n\n\n

Cala, a supply chain startup, was the first group to harness AI in the design creation process for fashion brands. In January 2023 it introduced a tool that allows users to describe their design ideas in text or upload images which AI will then transform into illustrations or realistic images. Users can then fine tune these designs before turning them into physical products. This tool marks a pioneering use of the DALL-E API in the fashion industry, enabling the creation of clothing, accessories, shoes and lifestyle products based on descriptions or images (OpenAI, 2022). <\/p>\n\n\n\n