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xEnabler is a product of partnerships between Delivery, Technology and Innovation. Together the team at xEnabler brings over 40 years of combined experiences to deliver best-in-industry projects that go beyond just code and embrace the concept of real-world solutions.
Fashion is one of the largest global industries – but it is not one of the first industries you think of when it comes to artificial intelligence (AI), or machine learning (ML).
However, many brands and designers are taking advantage of the new technologies to improve things such as design, manufacturing, production, and customer experience. Additionally, due to the highly competitive market, fashion brands are rapidly implementing AI and ML to remain relevant.
Keep reading to find out more!
Predicting trends is a labour-intensive task, involving complex manual observations, data collection, and data analysis. Utilising AI and machine learning allows for direct data collection, identifying patterns, and predictive analysis.
This allows for fashion brands to easily keep up with the latest fashion trends and predict customers preferences for the next season. AI-based approaches can reduce forecasting error by as much as 50%!
AI and ML have the ability to provide personalised recommendations.
As AI and ML-based approaches have the ability to predict future trends and consumer preferences; this allows for a more efficient designing process. AI-powered fashion designing based on customer’s preferred colours, styles and textures enable designers to create exactly what is in demand.
Implementing AI and machine learning into the fashion manufacturing process allows for an extremely efficient process. Computer vision enabled by AI/ML can make sure the colours and finishes of textiles are as they should be as well as spot any defects.
Additionally, accurate predictions of inventory demands are possible; therefore, significantly reducing last minute manufacturing and waste.
The customer experience can be improved by implementing AI/ML in fashion in few ways:
Personalisation: Personalised products and services are something every customer wants, no matter what industry. AI/ML allows businesses to easily follow fashion trends and individual purchase behaviours, allowing for personalised recommendations for each customer. This means improved customer satisfaction + loyalty.
Customer Service: Implementing AI/ML means enhanced customer service, further improving the customer experience. Chatbots allow for the user to receive instant support and the possibilities are endless! They can help with product recommendations, sizing, return policies and much more.
User Experience: Using AI/ML allows for a unique and easy to use interface giving the customer a seamless experience. For example, taking a photo of an outfit you like on a celebrity and getting a similar looking outfit displayed in the app.
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