8 Applications of AI in Fashion

  • Muskan
  • May 06, 2021
  • Artificial Intelligence
8 Applications of AI in Fashion title banner


Fashion is being identified more than just as how someone dresses and the way someone chooses their clothes it is taking a form of self-expression and of projecting one’s choices and preferences. 

 

Fashion is basically being more than just how someone dresses. Keeping in mind the reason and the technological dimensions that are changing throughout the world, this is being noted that this industry is also finding which tech aspect suits it the most and generates maximum benefits effectively.


AI is something that is reallocating the ideas of going with the fashion trends from traditional to modern, be it in terms of choosing the products, manufacturing the products both in terms of the environmental impact and consumer preferences.

Let’s have a look at what AI is and how it's taking the Fashion Sector by a storm. 

 

 

What is AI?

 

AI (Artificial Intelligence) refers to the ability of a robot-based and computer-based technology to perform tasks and generate results that are relatively done by intelligent beings. This is mainly used to generate decisions based on a complex understanding of several processes culminated, like discovery, generalization, and ability to comprehend them as an intellectual human characteristic would do. 

 

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Just as human intelligence cannot be understood in terms of one trait, this needs to be noted that AI is also a combination of several algorithms of problem-solving, decision making, and reasoning which is computer-based as well as robot-based. 

 



How Fashion Uses AI

 

In the fashion industry, AI tends to perform tasks that are otherwise human, as the word suggests. This is a technological advancement being used in this sector to be able to advance the fashion movement and make people have better picks in a fashion that are of sustainable nature and suits them the best. 

 

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Let’s have a look at applications of AI in fashion:
 


1. Advisory Role 

 

This is one of the most important as well as most used applications of AI. The electronic computerized intelligent devices are used to recommend the trending fashions and clothes to customers based on the data collected which consists of height, weight, size, age, and body shape of the customer. 


They are provided with accurate options based on the details they put in the computerized system. Also, AI is capable of identifying the modern and prevailing trends in the market and it also works in coordination with the devices to give a virtually set image of the clothing on the image of the customers. So that they can see for themselves how the fashion trend would fit them and their preferences and be the right product for them. 

 


2. Customer Purchase Predictions 

 

This is more inclined towards e-commerce fashion businesses, these augmented reality infused programs can keep a track of what kind of products the customer is looking for and it can go on to suggest the same kind of products in terms of shape, size color, and even budget to them so that they can pick from them. 


This also keeps a record of the kinds of filters a customer uses on the web and application to sort the product of the same category as per his choice based on that it can go on to suggest what other products the customer must check based on its AI’s identification patterns. 

 

This can also help in searching of the products by the image, several e-commerce stores offer this image search feature, in that the customer is able to put on an image and the artificially equipped system is able to understand the components of the image to be able to give suggestions of the similar products to the customers. 


 

3. Trend Prediction 

 

Social media is termed as both the inception and  end of the trends. AI can identify the trends which are prevalent on social media and in other such places to be able to conclude what might be the  most sought after apparel in the market after a certain period of time. 

 

This can help the designers design the products with the consideration of such trends and this can help them think of bringing their own improvisations and additions to the trend. Also, this can help them in terms of the outdated and obsolete trends so that some new and innovative marketing ideas can take their due place in the market. 

 


 

Image shows applications of Artificial Intelligence in Fashion: 1. Advisory Role 2. Customer Purchase Prediction 3. Trend Prediction 4. Inventory Check 5. Artificial Interaction 6. Price Recommendation 7. Identification of Fake Products 8. Sustainability

AI in fashion


4. Inventory Check 

 

AI can keep an automated record of the inventory of each store and can provide for a stock build up of a specific kind based on the sale for a particular store. They keep in consideration the kinds of products which are most selling from those stores. 

 

Logging in details of such kinds of stores can help the sellers keep a track of their stores in house stock as well as this can help them keep a track of their sales in terms of various categories. So that they can keep such high selling stock handy in the case of any sales, out of stock products can hinder the sale, the customers might go and seek the replica of the products on some other website. 


 

5. Artificial Interaction
 

Most fashion retail outlets and e-commerce stores provide for an electronic bot based system to interact with the visitors on the website to help them look for what they are finding by fetching appropriate links for them as well as to solve their immediate queries. 

 

Such chatbot-enabled systems are a part and parcel of AI. These problem-solving agents provide for a high rate of visitor-to-consumer transition as they mimic the humanitarian set of problem-solving and are capable of understanding and solving the queries of the website visitors. 

 

There are several websites nowadays which are chatbot enabled and they begin their work with a pop-up asking how they could be of any help. This has made possible the selling and buying without even any sort of interaction with a human of the business. 


 

6. Price Recommendation 

 

AI can help in calculating the appropriate prices of the manufactured products as well. These can keep an eye on the prices of the competitor brands as well as serve with automated calculations algorithms that can get inputs in form of raw material product cost and even expected profit amount. 

 

The aim is to gain a fair price which is also reasonable in its own way for the products including all the costs incurred in the production. The most fascinating thing about this remains to be that it can be used as both small scale and large scale production units. 


 

7. Identification of Fake Products 

 

This is noted that as a brand that is of high price rate starts to make it’s marketing presence, there are several duplications of the same start to hover around the brand. In huge imports and exports this tampering takes place, these not just reduce the brand image and faith of the customers but also pave a way for such a fake brand which is the cheap quality that takes the advantage of another brand's image.

 


In such a scenario AI helps by deploying robots equipped with technology and skills to be able to cite fake products during its checking by checking their numbers, logos, and even quality. Such robots and automation somehow also help to do a quick quality check of the products and avoid any embarrassment for the brand when it reaches the customers. 


 

8. Sustainability 

 

Fashion Industry and its such huge production is one of the leading global polluters. This can be removed using AI in a very subtle way. The trends that emerge and go out of fashion each day do not only cause the production as they come on the picture but they also cause wastage as they go out of the trend. People stop purchasing them and they need to be discarded as a product of not being used. 

 

The calculations and understanding of AI can be combined with several other inputs and monitoring platforms to reduce production and to keep a check on selling the trends which might go out of the shoppers very quickly with efficient marketing technologies and tactics This hence can be used to reduce errors in trend predictions for the designers and manufacturers and forecast trends more accurately which would reduce the amount of clothing produced and wasted. 

 

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Conclusion

 

It will not be wrong to say that AI is the future of the fashion industry, as the technology will become more user-friendly it will be embedded more in this sector and several other practices in each stage. No technology can completely take the place of any human intelligence; it can be made more and more task effective. 

 

Being aware of this the fashion industry is catering to such technologies which serve its purpose specifically for the retailers as well as for the customers, giving them better options to choose from with this availability of virtual trials, image-based search results with keeping in mind the impact on the environment and its implications. 

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