Brands need to keep abreast with the new-age artificial intelligence (AI) technologies to maintain their relevance in the fast-paced world of fashion. According to an industry report the global spending of the fashion and retail industry on AI technologies will reach US$ 13.7 billion by the end of 2024, because of its crucial role in product innovation. Many big brands in the industry today heavily rely on AI to improve their products and services. One example is the French luxury brand Dior, which invested in an AI beauty assistant who can reply to the questions of online consumers.
Apparel brands are doubling their spending on AI investments because of the recent innovations that could prove useful in designing and customer relationship management.
This post looks at the latest AI trends in the fashion industry:
Generative Adversarial Network in Clothing Designing
It’s not easy to come up with fresh ideas when there are myriad clothes, accessories, and shoes in the market. Hence, many fashion brands today use AI to help their designers discover novel styles.
Generative Adversarial Network (GAN) is one of the new-age AI innovations in the fashion industry because of its ability to distribute data, generate data sets, and improve outputs by means of 2 competing neural networks. By providing training to these neural networks, AI can generate realistic images of clothing and edit design concepts at a clothing design website to help brands create new styles.
AI Software for Data-Based Decision-Making
Every decision counts in the apparel and fashion design industry, whether it’s about the colorway of a design or the worldwide expansion of a brand. Fashion businesses strive to simplify this process by using AI software, to make decisions based on data. According to a team of market researchers’ brands can now retrieve data from company databases and online sources via dictionary mapping and natural language processing techniques.
After retrieving these data sets, the AI software can apply machine-learning techniques like prediction models and recommender systems to recommend the best products; or also the most prudent moves based on each designer’s goals.
Customer Personalization Via Self-Learning Systems
Brands cannot always visualize and conceive the designs that consumers desire. To be sure that they make the cut, many fashion businesses harness AI to discover the possible styles, fabrics, and cuts that their audience prefers.
The innovation involved in this process is a self-learning system that researches certain aspects through trial and error from particular examples. This technology employs big data, client personalization, and related services to research the preferences of consumers so that it can generate more custom and personalized styles that go with the audiences’ tastes. Countless fashion brands make the most of this AI technology to remain relevant in the face of stiff competition within the industry.
Summing Up
To sum it up, by now it may be clear to you that AI technologies are of great value for a clothing design website looking to rise above competition. By investing in the current AI trends, apparel businesses can produce innovative designs and forge better relationships with their consumers.
