Fashion and AI in Fashion Industry

Abstract
It has become not only a necessity of humans but the way of showing off their style, beauty and personality during a lavish lifestyle. Garment industry is one among the largest within the world with a market size of quite three trillion us dollars in line with the statistics done by 2018. The upcoming trend in the fashion industry is that the inculcation of computing which is has its own crucial plays and roles within the various key divisions of garment industry. Those key divisions vary from designing to marketing to logistics thus playing an enormous role in transforming the whole look of the industry. Automated solutions are provided by AI and machine learning based technologies. The AI in fashion is helping the style industry by providing automated solution to assist manufactures leverage its intelligence, thereby exhausting the most effective possibilities into their field. The current market demands simpler inventory management, customer demand for a personalized experience and therefore the growing influence of social networks within the fashion business. Fashion designers are using artificial intelligence to understand their clients, their interests and identify new trends before their competitors, including colors, patterns and designs that may help them launch new products consistent with market demand. for instance, Falguni and Shane Peacock have taken the utilization of AI even further by presenting collections designed by AI solutions.

Introduction
AI in Fashion: Role in the Industry.

What all are the key points when it involves designing a costume? the most key point is to form the design and patterns with the proper color combination and make it attractive among the customers. This can be where AI comes into play. Knowing the trend and forecasting the trend could be a very important part when it involves design. AI can detect the new fashion trends thereby with demand in projecting the upcoming trends reducing the danger of forecasting error. We also are awake to the fact that trends persevere changing everyday in step with the requirements of market. And designers must
keep pace with the new styles and AI algorithms can detect designs through images to transfer the popular styles. Higher speed potential, lowered operational costs and access to a depth of consumer and market data that promise a robust, competitive edge has made AI swept into many industries which revolutionized the complete business. AI could be a branch of computing that stimulates intelligent behavior in computer control machines to perform tasks related to human reasoning and capabilities. it had been surprising that the initial reaction of industry towards AI was a curious eagerness to be at the forefront mixed with reluctance. Automating an industry which is only built on human creativity does include understandable concerns. At this point, it’s important to focus on that AI uses human reasoning as a model but the tip goal isn’t replacing it. Best use cases in fashion take a look at AI as “Augmentative Intelligence”: Utilizing machine learning, algorithms and rich data to enhance the capabilities of humans and businesses. The key here is to grasp different applications of AI in fashion and adopt a tailored approach that plugs only into the areas where it can add value to your business model.

Review of literature

AI to Assist New Product Development

AI reinforces and offers credibility to the creative decision-making process. this is often done by tracking the elements of design like color, fabric, patterns and silhouettes similarly as their past market and retail performance for future performance indications. Thus, the merchandise development will be done without the danger factor of design failure.

AI as Designer

As said earlier, AI uses a strong algorithm to analyze past designs and upcoming trends, AI can make new apparel designs complete with sewing patterns. this permits the retailers to send the designed cloth straight to the manufacturers or incorporates. Thereby making the method much faster and more convenient. This also automates the patternmaking and fit process.

AI in Textiles
Garment Manufacturing

Fashion industry could be a place were we will find the work finished a awfully fast pace, this can be seen because of the increasing demand and therefore the change in trends which is continuous within the industry. Manual labour is completed at a awfully high rate within the manufacturing industries, with the inculcation of AL , the manual manufacturing processes are completed at a fraction of your time with increased accuracy. The automation within the processes like fabric quality, pattern inspections, color matching and defect detection etc… are scaled by AI.

Wearable Technology and Smart Fabrics

AI promises the wearer to own added value to the clothing line. The studies etc. are still at an infant age but the ideas which are put forward are promising. Increase performance, enable communication, conduct energy yet as grow with the wearer etc. are some new technologies which is defending by the applying of computer science in these areas. On the opposite hand, more brands are shifting towards environmentally responsible and sustainable practices in developing products, AI in biotech facilitates the assembly of other materials that are cruelty free and fully biodegradable.

Buying and Merchandising

AI in buying and merchandising would cut back the chance of the incorrect predictions thereby empowering buyers and merchandisers to be grounded in smart analytics. Majorly its seen that the buying decisions are done by the buyers and merchandisers by overlooking on to the past performance of the products and with some portion of human instinct. AI automates this instinct by giving accurate projection as sales are influenced by many dynamic factors like new trends.

Predictive Analytics

AI analyses market performance on a per attribute level through automated product tagging. Information about detailed attributes like color, sleeves, prints, necklines etc are informed to the buyers other than the knowledge of products that are performing well. AI provides real time data to observe shifting trends and stock performance on the run rather than looking trends and merchandise performance as a snapshot. With all this the buying team and merchandisers,  can come up with a proactive strategy to deal with consumer demand because it arises.

Trend Forecasting

Trend forecasting is done by collecting, analyzing and interpreting rich data from platforms like social media, e- commerce and the runways or fashion weeks to identify future fashion trends for each product category. And then this data is combined with the past performance and customer behavior thereby optimizing product assortment mix that would echo the best with a retailer’s consumer area.