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.
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.
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.
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.
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.
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.
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.
Visual search is disrupting fashion eCommerce, creating new opportunities for retailers whose search is lacking. Powered by fashion AI, visual search has been embraced by major retailers like Shein--but what makes it so revolutionary?
Service planning is hard when you’re trying to integrate technology with service offerings. In this guide for fashion eCommerce, we go over step-by-step, how to plan a new service using fashion AI. You can also discover our fashion search templates to help you along the way.
Fashion search is everywhere, but there are plenty of examples of poorly designed, difficult-to-use search. In this article, we'll break down all of the components that make great fashion search: product filters, image tagging, and intuitive search--and provide you with a checklist to evaluate your own search.
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