AI in the fashion industry has paved the way for advancements in eCommerce product search.

From generative AI like ChatGPT to more advanced computer vision, the underlying technology is improving at a rapid rate.

By harnessing the power of AI in the fashion industry, online retailers can offer a more personalized and engaging shopping experience.

We'll dive into the ten innovative ways that AI in fashion is shaking up eCommerce product search in 2023 and what that means for retailers.

1. A Revolutionary Approach to Ecommerce Product Search: The Virtual Mannequin Filter

The Virtual Mannequin Filter by YesPlz AI is changing the way shoppers search for clothing. It's a one-of-a-kind filter that allows shoppers to visually filter clothing in a way that is more intuitive and UX-friendly than traditional methods.

Using a virtual mannequin, shoppers select their preferred silhouette and design attributes. They instantly receive matching search results to their preferences.

The Virtual Mannequin Filter has made its debut at major online retailers such as The Handsome and W Concept, and has already been a success.

Shoppers, on average, leave with a 1.7x bigger shopping cart with The Virtual Mannequin Filter.

Behind the scenes, powerful AI in fashion works to tag product attributes to search parameters to deliver the most relevant results.

2. AI in Fashion is opening the door to more advanced search, like faceted navigation

Online retailers know that shoppers want advanced search options like faceted navigation, but they have struggled to implement them. Until now.

AI in fashion is opening the door to advanced search capabilities like faceted navigation.

Faceted navigation allows shoppers to apply multiple filters in one search, such as "v-neck" and "fitted."

AI in fashion ensures that shoppers come across relevant products quickly and efficiently, and can automate the process of tagging products with attributes to make faceted search easy for retailers to implement.

3. Stuck on your next product description? Let AI help.

Generative AI is the technology behind ChatGPT, the latest AI innovation from Open AI. It can generate new ideas and content based on prompts from users.

In the context of fashion, generative AI can be used to create an infinite number of product descriptions.

By utilizing the creative brainstorming of ChatGPT, online retailers can generate product filter names that are relevant to their brand and resonate with shoppers.

Retailers can even take it one step further and use AI image tagging to pre-tag product attributes, then insert tagging data to create product descriptions that are consistent with their brand.

4. AI Styling and Curation Using Combined AI Technologies

GPT AI Stylist is the latest innovation, powered by cutting-edge machine learning technology. The AI styling combines natural language processing and advanced computer vision to provide real-time personalized products based on shopper prompts.

As a result, shoppers receive suggestions with outfits that not only appeal to their personal taste but also elevate their overall shopping experience.

The underlying technology can respond to any prompt format, so shoppers can ask for recommendations in any way they want, opening them to endless style possibilities.

5. Improved computer vision technology means improved search experience.

Computer vision is a field of artificial intelligence that focuses on enabling machines to interpret images. But, what does that mean for search?

With more advanced computer vision technology, retailers can improve search by AI image tagging their product catalogs, resulting in better product filters and search results that are more representative of the entire catalog.

Without computer vision, retailers are stuck tagging based on text keywords, which aren't accurate enough to give comprehensive search results.

6. Filter Optimization That Aligns with Best Practices

AI in fashion can also help retailers optimize their filters to align with best practices.

In eCommerce product search, best practices include: using thematic filters based on vibe and occasion; avoiding zero-search result dead-end pages; and using language that shoppers understand.

AI in fashion can help by automatically tagging products based on trending themes, filling in product recommendations when search results are empty, and analyzing the language that shoppers use to create easier-to-understand filter language.

7. Using NLP to create popular trending keywords for search

Ecommerce site search is often left behind when it comes to AI and NLP technology.

But, in 2023, retailers like W Concept are utilizing AI to create popular trending keywords to make text search more inspired.

With fresh, updated keywords that include the most popular trends and suggestions, W Concept shoppers are able to jump-start their search experience.

We expect to see more retailers embrace AI to make eCommerce site search more engaging in 2023.

8. ChatGPT as a Research Assistant

It's impossible to ignore the influence of ChatGPT in every aspect of the fashion industry.

And, ChatGPT can also act as a creative research assistant or advisor (as long as retailers double-check the results).

For example, we asked ChatGPT to assist us with outlining ideas for promoting eCommerce product search, and received useful advice, such as using high quality product images and allowing for customers to leave reviews.

9. Combined AI technology is resulting in innovative products

The most interesting of AI in fashion in 2023 is the end result of innovative products that utilize not just one type of AI, but combine to create market-changing solutions.

For example, YesPlz AI combined not only computer vision technology but also created a fashion transformer, and is using generative AI, as well as natural language processing to create its GPT AI stylist.

Each type of AI has its own strengths, and when combined, can create a product that's more powerful than ever before.

The integration of AI in the fashion industry has changed the way that retailers approach eCommerce product search forever.

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