Jess Erdman, June 2023
In 2023, generative AI for fashion has taken the industry by storm. Some brands are even using generative AI to generate their own product designs, while others are using it to offer a more personalized shopping experience.
With the potential to “transform” the fashion industry, according to the latest news and research by McKinsey, we’re here to unlock what generative AI in fashion is all about.
Is it just for fun, or does it truly have the potential to shake up the industry?
Key points for this article:
Generative AI gets its name from its ability to generate novel content from a prompt, making it easy for anyone to use. The output can include video, images, sound, and text.
The ability to analyze large amounts of data means improvements for productivity in fashion.
But, where generative AI for fashion really becomes interesting is when we look at the interesting applications for fashion eCommerce, when combined with other technology.
We believe that generative AI for fashion has the potential to change the conversation between shoppers and retailers.
Because, right now, shoppers and retailers aren’t understanding each other.
When a shopper types in a search query, she receives back a limited number of products matching her keyword, but isn’t seeing the entire product catalog.
Enter Generative AI. When combined with other technology like computer vision, it has the potential to change the language of fashion between the shopper and retailer.
The conversation can be more natural and fluid with tools like YesPlz’s ChatGPT Fashion Stylist.
Generative AI in fashion will have an enormous impact on the way we shop by making the experience more personalized, but also by automating repetitive work and data management for retailers.
Any repetitive work can be replaced by generative AI. However, this doesn’t replace the need for human intervention to guide the AI, and analyze the output to make sure it’s accurate.
Here are some areas that generative AI in fashion can improve productivity for fashion:
By analyzing large amounts of data, it can generate personalized recommendations for shoppers.
Use cases for personalization using generative AI include:
These are the key moments to keep an eye on, from this past spring:
Fashion search has a problem: 72% of eCommerce site search outright fails customer expectations
While generative AI as a standalone tool is great for making incremental improvements or brainstorming, it is not a silver bullet that solves the biggest problem plaguing fashion eCommerce: the lack of good search & discovery.
But, when combined with pre-existing and pre-trained AI, there’s the potential to build experiences that transform product discovery.
Enter ChatGPT for Fashion Stylist, YesPlz’s latest product that takes the best of generative AI and combines it with pre-trained AI to create a better search & discovery experience for eCommerce.
Our solution makes search both more productive (we scale what a human personal shopper can do) and more personalized (we curate the right recommendations for each shopper). The best part? It works for any fashion catalog.
Schedule a demo call and see how it works with your catalog.
The fashion AI for eCommerce is assisting the in-house stylists at BSS, who will make the final call with their customers in mind, enabling them to perform their job more effectively.
With the rise of platforms like TikTok and YouTube, customers are becoming more discerning about what an algorithm does and expect it to work on their shopping websites, too. W.concept recognizes this trend and is at the forefront of integrating technology and fashion, particularly through the use of artificial intelligence (AI).