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5 Uses of Artificial Intelligence in eCommerce

Jess Erdman, January 1970

As eCommerce continues to grow worldwide, the use of artificial intelligence in eCommerce has far-reaching implications. From logistics to the fitting room, artificial intelligence has evolved from its early days in eCommerce. Companies such as H&M and Zara have implemented artificial intelligence through multiple touchpoints in their businesses--no longer is artificial intelligence siloed into specific parts of the company. 


Note: This is a guest post that was originally posted on Intellspot. You can access the full, original article here


In the article, we go over the different ways that eCommerce companies are currently using artificial intelligence to transform their business experiences. Specifically, companies are now using artificial intelligence to:

1. Personalize Product Recommendations

2. Manage inventory

3. Improve Search and discovery for eCommerce

4. Trend forecast

5. Create in-store experiences


Interested in trying a fashion artificial intelligence tool? Our product recommendation system is an AI-powered way to find the products you’re looking for. You can learn more here.


Personalize product recommendations with fashion artificial intelligence


In 2021, the name of the game is personalization. Customers expect a certain level of personalization when shopping, and artificial intelligence can help provide product recommendations or more accurate search results.


Use fashion artificial intelligence to manage inventory


With many complex variables to consider, predicting inventory levels without fashion artificial intelligence is difficult. Through fashion artificial intelligence, eCommerce companies can predict which products will sell during a particular season and can optimize shipping logistics.


Improve search and discovery for eCommerce


Fashion artificial intelligence and search tools are perfect together because of the complexity of search and discovery tools. Instead of forcing users to navigate confusing fashion taxonomies, AI-powered search and discovery tools can provide alternative ways for customers to discover products. For example, the YesPlz Style Filter creates an intuitive, visual way for customers to search.


Trend forecast with fashion artificial intelligence


With trends moving faster than ever, we’ve entered a time where micro-trends rapidly influence customer purchasing behavior. Through fashion artificial intelligence, eCommerce companies can more accurately predict which trends will have longevity.


Create in-store experiences 


As a result of the pandemic, newly sophisticated customers are demanding more from online shopping experiences. By using fashion artificial intelligence, eCommerce companies can transform online shopping into an interactive experience. Companies such as Forma are using artificial intelligence to create virtual fitting rooms--and we expect to see more innovation in the future.


There are many creative uses for fashion artificial intelligence in eCommerce, that go beyond a chatbot. For a full explanation of fashion artificial intelligence in eCommerce, you access the full-length article on Intellspot.


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by Jess Erdman Jess Erdman
Content Marketing Lead

I'm passionate about creating cool content. The best part? I get to learn new things about fashion tech and ecommerce everyday. Have an idea or opinion about this article? Reach out at

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