Various industries out there are enhancing their businesses based on recent trends in AI, ML and Big Data. The fashion industry is no exception over there as well. Businesses, as well as consumers, are expecting changes in the fashion industry adopting the various today’s trends. Many industry leaders have adopted the trends, whereas various others who fail to do so are facing bankruptcy or have little to no existence in the industry.

As AI, ML and Big data provide various data along with customer service customization and various other facilities; it is almost impossible to get things done in the fashion industry without AI. As per the report, almost more than 144% of industry profit is driven by the top 20% of the top fashion brands who have successfully adopted the AI and ML trends in their working process. So, any business that wants to be successful as one of the top 20 brands has to adopt the industry changes.

How Fashion Industry can Enhance its Working Process Through AI, ML and Big Data

● Clothing Designing

Artificial Intelligence and Big Data provide the most useful data that can help the business to understand the customer needs and design the apparel just a way that can fulfill their requirements. Along with that, the machine learning algorithms can help the fashion brands to check how the customers will react to the specific apparel designs, textures or clothing styles before launching it to the user base. It minimizes the chances of product failure. Along with that, AI-powered fashion designing can help the business to get accurate customer preferences based on colors, texture and any other clothing styles.

● Clothes Manufacturing Process

Fashion brands facilitating AI, ML and Big Data techniques can learn about the changing trends faster than the traditional ones. It can help them to design and manufacture the clothes according to the trends. Along with that, they can even design the other fashion accessories accordingly as well. It speeds up the manufacturing process simultaneously and helps the manufacturer save up the wastage of the production cost.

● Virtual Marketing

Artificial intelligence empowered technologies like Augmented Reality (AR), and Virtual Reality (VR) are currently shutting the hole between online and in-store shopping experiences. Various retail shop owners now have a web presence through websites and mobile applications. Where they allow the users to explore their products and get an immersive experience through AR/Vr gadgets, it helps the users to get a real-life simulation experience, and on the other hand, it helps the store owners to attract more users than ever.

How AI and ML Works For The Fashion Industry

One of the basic uses of AI and ML in the fashion industry is chat support. Various top fashion brands are providing chatbot support for their users where users can ask away the various questions that bother them to the chat support assistance, and AI-enabled chatbot can solve their queries without any human interference.

Nothing changes faster than the trends in the fashion industry. Various industry leaders, as well as small fashion brands, are leveraging machine learning algorithms to understand the recent and even upcoming trends in the fashion industry. Along with that, fashion trends often change based on seasons as well. Machine learning algorithms help brands to enhance their working process keeping all the affecting factors in mind.

Among all other things, Machine learning algorithms help the users to reduce their waste costs by accurately predicting the user demands and upcoming trends. It helps the brands to save a lot on wastage and unsold inventory costs. 

Benefits of AI and ML and Big Data for the Fashion Industry 

● Improved Customer Support

The AI, ML and Big data technologies provide customization, recommendations based on previous orders, chat support, AR/ VR experience and various other things that can enhance the customer experience. These technologies can help the users to trust the brands more as they provide extraordinary customer support.

● Enhanced Inventory Management

The predictive analytics of artificial intelligence and big data help retail fashion brands to understand user demands beforehand and plan their inventory accordingly. Along with that, they can even provide a detailed report on the most and least selling products to understand their expertise and flaws.

● Process Automation

AI and ML functionalities help fashion brands to eliminate the manpower from the dull task that can be automated through various other machinery. It enhances the work process accuracy taking lesser time than the man force. Fashion brands can leverage the man force for other productive tasks by adopting process automation.

Conclusion

The increased investment in AI, ML and Big Data Analytics Technologies helps the fashion industries to provide more personalized user experiences. Along with that, it also helps them to enhance their productivity and scale up the existing operations.

Author bio: The post is by Henny Jones, a Content Marketing Manager at HData Systems awarded As Top Big Data Analytics and BI Consultant Company. The company offers services like Data Science, Big Data Analytics, Artificial Intelligence, and Data Visualization.

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