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5 Ways Fashion Industry Transformation Clings On AI

All over the world, if you want to pick an industry that has always been open to transformation for its own betterment, then it is none other than the fashion industry. We can compare its aggressiveness to evolve with a volcanic eruption. In this fast-moving industry, designers continuously put the metal on the pedal to remain at least two levels ahead of the curve. All the hustle is to dominate the world with a wave of iconic designs.

“When John McCarthy first coined the term Artificial Intelligence in 1956, nobody thought that it would shape the future developments of various industries.”

As fashion technology adds the salt of energy into its complete ecosystem, we can witness the construction of a powerful and transparent foundation. AI technology has a huge role to play in the disruption of this field. For example, AI ameliorates the ability of the fashion industry to transform a massive and diverse set of data into a piece of engaging information.

Fashion Industry Transformation

Of course, humans are the ones responsible for the development of trend-setting designs. But the future belongs to the intelligent machines that are forecasting those trends and influencing the decisions. That is the reason why the total spending is predicted to quadruple by 2022. As the annual spending increases, AI is successfully penetrating its roots deeper to become an integral part of the fashion industry.

Examples Of How AI Is Used In Fashion Industry

  • Boosts development with forecasting.
  • AI-powered tools with new technologies help retailers to manage inventory.
  • Chatbots offer guidance 24*7 and influence purchasing decisions.
  • Keeping up with the customers’ choices, AI algorithms tailor product recommendations.
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How the Fashion Industry Is Improving With AI?

As we witness the competition rising, brands are keen on standing out of the line and fighting tooth and nail, in order to boost the sale. The inclination towards AI is hence, completely justified, as it transforms the fashion industry from manufacturing to selling. So without any further ado, let us look into a few aspects to develop a better understanding.

Automating Manufacturing

One of the biggest challenges in automating manufacturing in the fashion industry has been the failure of the robot to handle flexible fabrics and limp. But there are a few startups that have found the fix for the same, by stiffing the fabric. This makes it easier for the robots to smoothly manage the fabrics.

As there is now robotically-sewn garment by a generic robot, machine learning is being taken seriously in the process. Together they can develop the ability to accurately demand forecasting techniques. Automated manufacturing adds the cherry on top by reducing the total time taken to complete a design.

Creating On-demand Designs

The on-demand designing and manufacturing of clothes expanding. Now there are a lot of companies that are dependent on a complete community of artists. The artists provide them with designs using different 3D modeling tools, that successfully develop a photorealistic image of the final product. Companies are using software similar to video game engines.

With this, they would be able to observe the virtual creation even with a single stitch. The virtual design is then uploaded to the online catalog. Once the shopper wants to purchase it, the printer inks the graphic, cuts, and sews it. And only then the garment is shipped to the shopper. This provided a unique way to save money until someone is actually willing to buy it. Isn’t it a great way to secure yourself from loss?

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Keeping Up With The Quality & Counterfeit Screening

With the help of advanced AI and Deep Learning technology, development is made to create a smart fabric to defect detection system. Through this manufactures are able to identify defects and rest of the anomalies present in the production line.

The complete system reduces the possibility of producing faulty fabric up to 90%. It is indeed a great way to decrease loss and avoid the rest of the wastage, especially in the production line.

This is certainly not all, advancements are being made in identifying counterfeit garments as well. With the help of machine learning algorithms, many processes are trying to develop a system that separates fake products from the glut. Law enforcement uses this tech to validate and verify all the high-quality premium products of a wide variety.

Tackling Inventory Management & Demand Forecasting

A lot of gigantic brands have disrupted the traditional apparel market by reducing the design to store time from months to weeks. The fashion industry is now trading high-quality products at a low price. But let us acknowledge the three facts on which this module is dependent on-

  • Proper understanding of current trends
  • Ability to predict the development of the market
  • Customer preferences

In case the above-mentioned aspects are ignored, there is a chance that the brands increase unwanted inventory, loss of profit, and discount sales. With the help, if seamless integration of AI technology across different sectors like supply chain, returns, logistics, etc saving a whopping cost is assured.

Earlier the accuracy of demand forecasting technique was questioned because of the fact that it only used limited data sets and old sales data. But with the advent of machine learning and AI technology, it is easy to incorporate learning from different multiple sources and reduce the errors involved in forecasting by 50%.

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Growth Of Virtual Assistants

The biggest concern for the fashion brands is to actually help the user base to select the best fit. And to style a completely unknown person without confusing them with thousand of apparels is not like a cakewalk. To simplify the same problem, intelligent chatbots enter as digital stylists.

The user base can easily get into a conversation with their virtual assistants and with that can also draw effective styling suggestions. From finding the perfect dress for an event to getting the right fabric, for these virtual assistants sky is the limit, when it comes to suggestion. Based on one’s personal preference, they also help in choosing the right delivery method. Evaluating its capability, there is no problem in expecting this trend to shoot for the stars.

Conclusion

By now you must be well versed with all the AI technology-based trends that are dominating the market. As we witness the technologies adding value in different parts of the fashion industry, we cannot help but feed on the future possibilities that they both have to offer.

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