Clothing Detection – The Future of Ai & Fashion Industry

Here in this blog, we will be looking at the various impacts of clothing detection & Artificial Intelligence on the fashion industry
clothing detection

The global fashion industry is valued at over 3 trillion dollars, contributing to around 2% of the worldwide GDP. From the innovation of sewing machines to the adoption of the eCommerce marketplace, the fashion industry is one of the few industries that has remained at the forefront of technological innovation. Today, the fashion industry is still pushing ahead with the fast implementation of disruptive technologies, including AI, Computer Vision, and Machine Learning.

In the recent past, Artificial Intelligence has become an essential technological advantage for the fashion industry, to the extent that over 40% of all retailers not adopting the AI technology are on the verge of bankruptcy. From clothing detection to fashion tagging to apparel designing and virtual merchandising, the industry is fast implementing AI, ML, and Computer Vision technologies across all business operations. The total global spend on AI technologies in the fashion industry is expected to cross USD 7 billion by 2022, clearly establishing the importance of technology.

Artificial Intelligence, along with computer vision and machine learning technologies, is enabling the fashion industry to gain a competitive edge by designing efficient processes and deliver a seamless shopping experience to customers for increased profits. Here in this blog, we will be looking at the various impacts of Artificial Intelligence on the fashion industry;

Clothing Detection and Impact of Artificial Intelligence in the Fashion Industry

According to one research by McKinsey, the top 20% of the global fashion brands generate over 140% of the industry profits. If we are to check the reasons behind these phenomenal profit rates, it’s simply because these leading brands are exploiting the advances of AI, computer vision, and big data to adhere to customers’ personalization demands. This also means that any clothing company/fashion brands looking to squeeze profits from this massive industry need to invest in AI and associated technologies.

Now that we have a rationale of the significance of AI and other technologies for the fashion industry, let’s take a look at how these technologies are making an impact on the industry;

–         Clothing Detection

Clothing detection is one of the major applications of AI and computer vision technologies to develop efficient recommendation systems. Today, leading fashion brands are using image processing techniques along with augmented reality (AR) and virtual reality (VR) to bridge the gap between online and in-store shopping. With powerful AI algorithms backed by AR and VR, fashion brands are able to offer shoppers clothing recommendations through digital media. Tommy Hilfiger used VR technology to develop a virtual replica of its retail store, offering customers a real-time virtual shopping experience for its online stores.

–         Apparel designing

Apart from clothing detection and virtual merchandising, leading fashion brands are also exploiting Big Data technology to store, analyze and understand customers’ personalization needs for apparel. This enables them to design more in-demand apparel and maximize sales and profits. In collaboration with Google, Zalando (a German fashion platform) has been using AI-based fashion designing tools to meet customers’ personalization requirements on colors, textures, and other preferences.

–         Manufacturing process

By implementing AI tools, fashion brands today are able to identify changing trends and preferences in the fashion industry, enabling them to change their shelves fasters with newer and more in-demand products. As a result, some of the biggest fashion brands, including H&M, Zara, and others, are gaining more sales and customer gratification by offering them trendy, seasonal fashion accessories.

Use Cases of AI in the Fashion Industry 

Now that we are done looking at the impacts of AI and related technologies in the fashion industry, let’s now move on to see some of the best uses cases of technological innovation by top fashion brands.

–         Alibaba

The Chinese retail giant Alibaba is no newbie to technological innovation. As one of the biggest retailers, Alibaba has invested heavily in implementing disruptive technologies to revolutionize the shopping experience for its customers. Alibaba has recently opened its first FashionAI store that offers intriguing features, including; smart garment tags, smart mirrors (VR-based cloth detection), and others.

The technological implementation has enabled Alibaba to offer its customers a unique shopping experience and benefits them with AI-based fashion recommendations that adhere to their style preferences. Also, the FashionAI store can be integrated with Alibaba’s app, thanks to the use of Omni-channel technology that offers customers a seamless and consistent experience.

–         Tommy Hilfiger

In collaboration with IBM, Tommy Hilfiger has developed a pioneering fashion project named “Reimagine Retail.” The project is aimed to equip fashion designers with the AI skills they need to succeed in the evolving industry. As a result, aspiring fashion students are able to get their hands on various technical skills, including computer vision, natural language processing (NLP), and others, to excel in the industry.

–         Amazon

The ecommerce retail and tech giant Amazon is also credited to master the recommendation system. The company was one of the first to design and implement a robust recommendation system that revolutionized the ecommerce industry. With its massive investment in technological innovation products, Amazon is now developing an AI-powered fashion designer algorithm. This disruptive algorithm is being designed to copy the fashion style of in-vogue clothes to new clothing items.

The AI-powered Fashion Designer algorithm development is enabled by Amazon’s Echo Look fashion assistance, which is highly regarded as the best recommendation system driven by machine learning.

Conclusion

Technology is fast changing the face of the fashion industry. Today, ai image algorithms blur the gaps between in-store and online shopping experiences, enabling customers to make intelligent choices. From virtual merchandising to apparel design processes, AI, computer vision, and machine learning technologies set the industry’s new horizons. Also, the increasing investment by top global fashion brands in technological innovation will fuel the new generation of technologies that we may see in the near future.

Muhammad Imran is a regular content contributor at Folio3.Ai, In this growing technological era, I love to be updated as a techy person. Writing on different technologies is my passion and understanding of new things that I can grow with the world.

Total
0
Shares
Leave a Reply

Your email address will not be published. Required fields are marked *

Previous Post
metal detection in food packaging

Metal Detection Services in Food Industry Explained

Next Post
Animal counting

Animal Counting – How Drones are Changing Livestock Management?

Related Posts