Artificial Intelligence (AI) and Generative AI are buzzwords in the fashion industry among start-up companies, fashion brands, and the fashion manufacturing sector. Everyone wants to know how to use Gen AI in their business processes. Secondly, what are the current applications of the Gen AI? Are the Gen AI tools and AI programs helping the users and companies that are using AI and making news out of their use cases?
You can find many articles and use cases on the GenAI application by a few fashion brands. Most articles mentioned how garment businesses can benefit by using AI tools. GenAI specifically focuses on developing AI systems capable of generating new content or data. Many of those articles are generic thoughts and statements by the authors.
After exploring AI technology and its application areas through reading a couple of articles from various resources, it is quite understandable where this AI technology can be implemented and applied. I have summarized the use of Generative AI in pointers. Check out this list to learn about the application of AI in the fashion business including fashion retailing, e-commerce, fashion manufacturing, and more. For more reading please refer to the resource links at the bottom of this article.
Use of Generative AI
In general, AI technology will increase the users' productivity, data accuracy, data security, and data analytics. In the fashion supply chain, the AI application is found throughout the processes - from design development to production, from sourcing to selling the fashion goods.1. Digital prototyping - AI is used in developing digital prototypes of new models (styles). This application can reduce the physical waste and manufacturing costs for sample (prototype) development.
2. New style and concept development - Gen AI is used to generate unique and innovative designs based on a set of parameters provided by designers or customers. Yoona AI is an example of an AI-based Design Tool for the Fashion Industry
3. AI-generated fashion model - The rise of AI-generated fashion models has brought forth a remarkable intersection of technology and fashion. Behind the scenes, sophisticated AI algorithms and deep learning techniques are driving the creation of these virtual models.
4. To determine the stock count required for items - AI algorithms are used to calculate article-wise (SKU) stock count in fashion retailing.
5. To anticipate the season’s hottest looks and ensure they have the correct sizing in store for their customers.
6. Personalized clothing recommendation - AI algorithms can be used to analyze a large pool of data and customer feedback to provide personalized clothing recommendations.
7. Demand modeling for fashion brands - By analyzing consumer trends and preferences, Gen AI can help fashion manufacturers predict demand for certain products. This can inform inventory management and production planning, ensuring that the right products are available at the right time to meet customer demand.
8. Inventory management and control - AI is used for inventory management in production plants and retail warehouses.
9. Assisting online fashion shoppers - AI tool is used to help online consumers find the clothes they need, best suited to their style and size.
10. Virtual try-on- Gen AI facilitates the development of virtual try-on experiences, allowing customers to visualize clothing items before purchase. This innovation minimizes returns and enriches the online shopping experience. The virtual fitting experience can enhance customer satisfaction and confidence in their purchases.
11. Final product Inspection - After manufacturing fashion products like clothing, home textiles, and fashion accessories, the final inspection of final products is performed. AI technology can be utilized in final inspection tasks.
12. To determine the trend forecasts by analyzing millions of images daily, shared on social media. This allows product developers to use that time to interpret the data and design new garments for retailers.
13 Application is making sustainable products: Gen AI can contribute to sustainability efforts in the fashion industry by optimizing material usage and reducing waste. AI algorithms can suggest alternative materials or production methods that have a lower environmental impact, helping fashion manufacturers minimize their carbon footprint.
14. Improve material grading - using machine vision and deep learning techniques AI can be used to inspect and grade the quality of yarns, fabrics, and garments.
Conclusion
No doubt the use of AI technology is rising in the fashion industry. We can find many such examples. NeuroPixel.AI offers AI-enabled fashion cataloguing, synthetic model generation, and virtual try-ons. Botika, a cutting-edge AI fashion model generator has gained recognition for its robust algorithms and user-friendly interface. Vue.ai is a comprehensive AI fashion model generator beyond virtual model creation.
Resource and More reading
- https://www.boardofinnovation.com/blog/designing-tomorrows-apparel-with-genai/
- https://www.businessoffashion.com/articles/technology/the-state-of-fashion-2024-report-generative-ai-artificial-intelligence-technology-creativity/
- https://research.aimultiple.com/generative-ai-fashion/
- https://www.visionet.com/blog/how-gen-ai-is-revolutionizing-fashion-industry
- https://technologymagazine.com/ai-and-machine-learning/how-artificial-intelligence-applies-to-apparel-manufacturing