Increased productivity and manufacturing well as running enterprises by AI restyling women’s fashion industry
The power of AI to develop creative products and immersive content simultaneously seems most potent. Could AI restyle women’s fashion industry-generated virtual fashion experiences shape the future of fashion shows? Undeniably. Now, virtual models are helping designers show their latest creations worldwide, thereby reducing waste by showcasing clothes that haven’t been manufactured.
AI-enabled apps are also transforming the way people buy clothes. Avoiding browsing altogether, various mobile apps allow users to screenshot outfits they encounter online. Taking this image as input, the AI system analyses the featured clothes or accessories and identifies sites that provide the exact outfit or similar styles.
How AI is being used in fashion?
Artificial intelligence is being used in many different ways in the fashion industry. The first use case of AI restyling women’s fashion industry is as an advisory role. Artificially intelligent digital assistants are being used to recommend clothes to customers based on their height, weight, shape, and current size.
Customers are then given accurate sizing based on the details they have inputted into the system. The sizing accuracy is based on feedback from other customers. On average 40% of online purchases are ultimately returned. The use of AI in customer advisory is important as it allows for greater customer satisfaction and a reduction in the number of returns.
AI can also be used for practicality and productivity within stores and online retail. Through logging sales, returns, and online purchases, retailers can keep track of stock and gauge which stores need which products.
AI in Fashion and Sustainability:
The AI restyling women’s fashion industry continues to be one of the biggest global polluters. It is responsible for an average of 10% of global carbon dioxide emissions, 20% of the world’s industrial wastewater, and 25% of all insecticides used in the industry. It is unrealistic to think that this industry can continue mass-producing clothes to keep up with this fast fashion epidemic.
However, artificial intelligence can be used at many stages of production to combat this dilemma, in turn reducing inventory levels. AI offers a sustainable solution to fashion, reducing overall inventory levels by 20–50% approximately as well as improving working conditions in the fashion industry.
The use of Artificial Intelligence alongside Machine Learning, Deep Learning, Natural Language Processing, Visual Recognition, and Data Analytics can be used to reduce errors in trend predictions and forecast trends more accurately which would reduce the amount of clothing produced and then unused.
Designers using AI in Fashion:
The brand to discuss AI restyling women’s fashion industry is H&M. It is a popular clothing store globally, having originated in Sweden by Erling Persson in 1947 and producing a mass amount of clothing worldwide. They have chosen to use advanced analytics and artificial intelligence to improve their business overall. H&M is improving the way they spot trends and plan logistics and reducing the number of discounted sales, and masses of unsold stock by using artificially intelligent technologies.
They are also using it to examine supply and demand and allocate a sufficient number of goods to each store, once again, reducing the number of wasted clothes. At the H&M group, they are combing both analytics and AI with human intelligence to use what is known as “Amplified Intelligence.”
Some of these include; recommendation systems, human computation (harnessing human intelligence to solve computational issues), logistics optimization, state machines ( a machine can have different states, but only fulfill one at a time), demand modeling, inventory management, and a data platform (customer database that is accessible to other systems).
Trend forecasting is labor-intensive. It involves manual or digital observation and data collection from fashion designers and influencers. Now, fashion brands are reshaping their approach to product design and development by predicting what customers will want to wear next.
Brands like Finery a wardrobe management application that asks users for their email address and permission to access email receipts of fashion purchases, and StitchFix, an online personal styling service that uses AI restyling women fashion industry algorithms and human stylists working in combination to make recommendations to clients of items of clothing, shoes, or accessories, can have fast, easy access to information that helps them plan the styles people will love and know what quantities to manufacture.