One of the largest sectors in the world, the global fashion and apparel market is expected to be worth $1.5T in 2021. However, the industry has a number of difficulties in the areas of manufacturing, sustainability, and technological development. AI is transforming every business, including fashion, by providing answers to numerous problems. According to reports, the global market for AI in the fashion industry was $270M in 2018 and is expected to reach $4.4B by 2027. Share your thoughts at the Artificial Intelligence Write For Us category.
Need of AI
They are-
1. For Designs
Almossawi uses AI to get ideas and is inspired by it; as a result, he has come up with more ideas than he would have otherwise. The early stage of every designer's approach "involves a lot of explorations and ideation sessions," including tossing around wild ideas and group brainstorming. He said that AI facilitates collaboration by extending human-to-human interaction to human-to-machine interaction. As bizarre and fascinating as AI is, he asserted, "I can only see it getting better and doing much more than just outputting images." Almossawi, for instance, employed AI to design a range of clothing inspired by the Japanese kimono. I thought it would be interesting to consider constructing various silhouettes with various textures and details, the man stated.
2. For Green Fashion
According to the UN Alliance for Sustainable Fashion, the manufacturing of clothing is responsible for up to 8% of global greenhouse gas emissions and 9% of the yearly microplastic pollution in the oceans. As replenishing returns is frequently not financially feasible for stores and high-fashion labels don't want to degrade their trademarks by selling to deep discounters, the majority of returned items wind up in landfills. The first area where AI, including applications like ai girlfriend, can be helpful is trend predicting. It's a game of chance to determine what consumers desire, then mass produce that product: If you bet incorrectly, the garment maker will have a lot of unsold inventory.
3. For reducing Counterfeiting
Who desires a replica Birkin bag? Nobody, especially someone who spent at least $40,000 on the genuine article. AI can be used in two different ways to help stop awkward situations like this. AI is used by accounting behemoth Deloitte's One tool to identify design infringements. The technology, dubbed Dupe Killer, analyses data from millions of photos to identify tiny yet distinctive design aspects, such as an item's shape, colour, or even distinctive stitching patterns. This article in Vogue Business shows how Dupe Killer aids brands in identifying and pursuing businesses that are unauthorised exploiting their design trademarks. Another approach relies on computer vision, a branch of artificial intelligence, to identify "real" goods and assist supply chain participants like customs officers.
4. For advancing Wearables
Wearable technology driven by AI is already available, including fitness bands that monitor heart rates, movements, and performance. It's a sizable market with revenues expected to reach $42.4 billion by 2023, according to eInfochips, a business specialising in digital transformation. The designer Hussain Almossawi anticipates that this use will also apply to clothing. According to him, the incorporation of AI into clothing might lead to smarter textiles, clothing that is better for sports and performance, and clothing that is more responsive to the body. For instance, he explained, "there are materials that can detect when the body is heated or sweating, and little pores inside the material open up to allow for more airflow.