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The Influence of Artificial Intelligence on the Future of Fashion Industry

The fashion industry all across the globe is moving swiftly. There is no doubt in the fact that by nature the field of fashion is extremely malleable. Almost every season, it transforms into something completely new. 

This industry is revolving around the perpetual dynamics of transformations and a continuous introduction to fresh ideas. Over the last few years, the fashion runways have been flourished with a plethora of innovative changes. Out of all, artificial intelligence has to be the main game-changer.

As per the top-most honchos of the fashion industry, the inculcation of artificial intelligence in the fashion world will set new paradigms by dissolving all the boundaries in the near future. The intervention of AI will help this industry reach another height of proliferation very soon.

Wondering how? Let’s take a glimpse of how the fashion world is going to reap an AI-enabled future.

 

  • More Accurate Prediction of Customer Behaviours is now Possible

 

With the intervention of AI, machine learning and big data-enabled predictions, the modern designers have long been contemplating their next moves. Finding something quality-driven or stylish for just once can’t be sufficient. The designers are required to come up with something more appealing every season.

However, the fashion predictions made by the trend forecasters could get terribly wrong at times. This can take a serious toll on the overall business. This is where the algorithm-based predictions come into play. The algorithm-based predictions of customer preference are capable of offering more reliable results.  

 

  • Visual Searching Has Become Easier

 

The visual is the very first cooperation with the decisions related to fashion, style or designs. It’s impossible to make a proper fashion decision sans a thorough visual guideline.  The AI-enabled designs can mitigate the gap between consumer behaviours and marketing aptitudes.

The Project Muze of Google relies on a neural network and a few aesthetic parameters for understanding the colour, style or texture preferences of a consumer. After learning from the fashion choices of a cluster of designers, it refines the results with trend forecasts and predicts the consumers’ fashion preferences with similar choices.

 

  • Product Customisation Has Improved

 

Another major shift anticipated from the intervention of AI is that fashion would become a lot more consumer-centric and customised in the future. The older technologies were more focused on making fashion and style a more mass product.

But, the modern interventions including robotics or 3D imaging are giving rise to more conceptualised, previewed and well-constructed products for a single consumer type.

The latest technologies are striving to join these things with predictability by thinking from an individual customer’s perspective. These technologies have even begun to simulate the customers’ feelings as well. Together, these can produce digital avatars for helping the fashion experts understand customer tastes more precisely.

The automated creation of individual ensemble is getting facilitated by AI and robotics, which will help in sewing, cutting and assembling an item. With the adoption of machine learning and artificial intelligence, the conventional space of supply-chain is expected to witness an impressive turn towards one, which is characterised by the customers.

 

  • A Much More Agile Supply Chain has Emerged

 

We have to admit that what artificial intelligence is making possible is incredibly unprecedented. The human mind is unable to retain or comprehend a legion of images that AI can produce in an instant. It can also streamline the process of supply chain by getting apparels ready as per the customer demands.

Economically-savvy automation is expected to maximise the agility of production network forms by encouraging different mainstream patterns. By joining AI with the speed of conveyance as well as low promoting expenditures of online networking, the modern fashion industry is trying to ensure a quicker supply of more well-planned and stylish designs.

 

  • Connection with Consumers has become Better

 

Today, most of the fashion retailers are counting on AI chatbots or smart assistants for building a connection with the consumers and offering them product recommendations. This scalable strategy of customer-care service can help the retailers save time and money on consumer service staff with greater ease.

With the virtual stylists, the consumers will find suitable fits, cuts, or stretches for themselves. Besides offering a more fulfilling shopping experience, these bots can also help minimise product returns by matching consumers with their apt sizes prior to the purchase.

 In a quest to provide the customers with a better shopping experience, Tommy Hilfiger has recently embraced chatbots or smart assistants. The Facebook messenger chatbot of Tommy Hilfiger is proffering a more interactive and personalised shopping experience to the buyers. 

The consumers of this brand can rummage through its latest collection and share their opinions for better product recommendations. These chatbots are using the advanced language processing technologies of machine learning to resolve the consumer queries.

 

  • Product Costing has Gone Down

 

It’s important for the modern fashion retailers to maintain a certain competitive pricing strategy to attract and retain the customers. By conglomerating artificial intelligence and machine learning, the advanced AI tools have enabled the retailers to seal this deal.

The modern retailers are inculcating this API into the product information of a brand to create a principle-based engine for upgrading the costs. Owing to this intervention, the retailers have successfully improvised their products’ costing to a huge extent.

 

  • Product Discovery has Become Easier

 

Visual search is another AI-enabled retail trend, which has made it easier for the consumers to find and buy products of their preferences. The consumers are required to upload a picture of the products they are looking to purchase.

Subsequently, artificial intelligence will identify the image across different websites and help the consumers discover the products of their needs and preferences. However, the fashion retailers have to upload the updated and premium-quality images of their products to get the best results.

Final Words

A revolutionary world of fashion waits at the threshold, courtesy artificial intelligence and machine learning technologies. There is no doubt in the fact that the future of fashion industry would be refined largely by artificial intelligence and several other technologies.

Retailers are expected to leverage AI for maximising efficiency, saving on expenditures, and creating a satisfactory shopping experience for consumers.

 

Sumit Kumar, Co-Founder & CEO, Gravitas AI

www.gravitas.ai

Sumit Kumar

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