On the one hand, one of the most productive industries in the world, on the other, the technological innovation that everyone is waiting for. We are talking about Fashion and Artificial Intelligence.
We know that algorithms can be used to improve sustainability and produce a personalized customer experience. This is true for several industries. What about fashion? What is the role of AI?
How is AI used in fashion?
Artificial Intelligence is used in many different ways in the fashion industry. Here are some of them:
- Customer support
First, the advisory role: smart digital assistants recommend clothes to customers according to their height, size and personal tastes. Customers will receive accurate advice based on the details they have entered in the system. The accuracy also depends on the feedbacks from other customers.
The use of AI in customer support has important consequences: increased customer satisfaction and reduced returns. Considering that on average 40% of online purchases are returned, this numbers can be reduced with the support of AI assistants.
- Environmental sustainability
The fashion industry continues to be a major global polluter. It is responsible for 10% of global carbon dioxide emissions, 20% of the world's industrial wastewater and 25% of all insecticides used in industry.
It is unrealistic to think that fashion can continue to mass-produce, keeping up with the ever-increasing demand for clothes, while also combat global pollution. However, Artificial Intelligence can be used at many stages of production to try to reduce unnecessary waste as much as possible.
This is possible with proper resource planning. Artificial Intelligence together with deep learning, visual recognition and data analysis can reduce errors in trend forecasting, thus reducing the amount of discarded and unused clothing.
At the same time, it improves effectiveness in store and online retail. By recording online sales, returns and purchases, retailers can track their inventories and evaluate which stores need which products. They can improve inventory management by 20-50%.
- Custom experiences
More and more major fashion brands are combining Artificial Intelligence and human experience to create the optimal, right message for the end user.
It is all founded on data, of course. We can use customer data, even drawing it from the use of content on the online channels, to create increasingly accurate suggestions for future consumers. Starting with simple questions such as "Do you like shopping?" and "How long do you take to get ready in the morning", "what are your favorite colors”, to finally offer a personalized experience.
In an increasingly digital and consumer-oriented age, AI will be more and more present in our lives, especially in a field like fashion, which has always been receptive to trends and innovations.
It will be common to see online fashion assistants to improve the customer experience, the use of algorithms for trend forecasting and to adopt more sustainable solutions, for logistics optimization, demand modeling, inventory management and increasingly centralized data platforms (as well as technologically protected networks such as VPNs).