How AI Is Improving UX In Ecommerce
AI is taking the world by storm, and the eCommerce world is no exception. If you aren't already using AI to improve your UX, this article will explain why you should be.
Published February 5, 2025.
AI is revolutionizing the way we interact with businesses. The eCommerce industry is no different. AI has given us the potential to greatly improve the eCommerce experience, whilst making merchants lives easier. Let’s take a look at the ways that AI has improved the eCommerce experience so far.
AI In 2025
In 2025, there is huge potential for AI optimization on your website. Merchants should be taking advantage of the potential this has to offer, as it can lead to a greatly improved user experience, and higher rates of returning customers.
Hyper-Personalization
Personalization in eCommerce has been around for a while, this is nothing new to the industry. However over time, as the benefits of this have become apparent, consumers want more. Hyper-personalization has been made available through AI technology.
A whopping 92% of businesses use AI technology to optimize their personalized eCommerce experiences already. As AI becomes more well known, this number is only set to increase.
Hyper-personalization takes your personalization strategy to the next level. Rather than relying on basics (name, location etc.), hyper-personalization allows you to have real insight into what your shoppers actually want to see to make their online experience truly special.
Some of the ways that hyper-personalization can improve your eCommerce experience are:
Creating the potential for social commerce
Offering real-time personalized product recommendations
Improving the delivery and return process
Business to agent commerce
Chatbots Technology
Chatbots have been benefiting from AI growth in capacity. Having been viewed as unreliable in the past, at this point in time they operate effectively and functionally to help aid the customer journey. Some functions the chatbots can serve are:
Answering FAQs
Acting as a store assistant
Offering personalized recommendations
Informing delivery and return details
These are all hugely beneficial to the shoppers journey. It also frees up human time to focus on more complex issues, giving them more time and attention. Just a few more of the benefits of these are:
24/7 support
Personalized responses
Instant responses
Quick and simple resolution to issues
Conversational Commerce
We’ve known about voice commerce and voice technology for a while, but until the latest boom in AI capacity it hasn’t really gained much traction. At this point, when AI is becoming a normal part of the shopping experience, so too is conversational commerce.
Allowing users to search for products using their voice alone rather than having to type is a great boost. With the reliability improving, there have been leaps forward into the advancement of voice technology. This number will only continue to rise.
Advanced Site Search
Site search is the backbone to any successful eCommerce store. AI revolutionizes the search experience. There are different ways this is achieved.
Natural Language Processing
Through using natural language processing and machine learning, shoppers no longer are bound to having to provide the right keywords to find results.
Synonym & Antonym
This, along with synonym and antonym search, means that shoppers can make spelling mistakes, or use the language that feels right to them, and still get the results they need. This immediately improves the search experience for both merchant and shopper.
Vector Search
Furthermore, vector search uses vectors to infer context and intent from the search terms, which provides an even more optimized experience. This allows for shoppers to use multimodal input to find their results. This could be image, voice or textual input. This creates the chance of shoppers feeling confident and comfortable in search, and finding the desired results.
Conclusion
AI is improving customer experience within the eCommerce world in several ways. As more shoppers come to require personalization, and hyper-personalization, the AI growth in eCommerce is the only way to achieve this. Furthermore, in terms of customer service and new technologies to add to the shopper journey, AI is the only way this can be achieved. If your site isn’t already using AI to boost your brand image and UX, now is the time to start.
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Fast Simon
Advanced AI-powered search, merchandising, and personalization
Read ReviewsRecommended businesses
Suitable for businesses of all sizes, from SMBs to large enterprises
Integrations
Integrates seamlessly with all major eCommerce platforms including Shopify, Magento, and WooCommerce
Ease of use
Potential learning curve but offers comprehensive support and resources to assist new users
Brief overview
Fast Simon offers AI-driven search and merchandising tools that provide personalized shopping experiences. The platform includes features like AI-powered search, dynamic filters, and personalized product recommendations, all designed to enhance user engagement and boost conversion rates.
By analyzing user behavior in real-time, Fast Simon ensures that customers are presented with products that align with their preferences, streamlining the shopping journey and addressing common eCommerce pain points such as product discoverability and customer retention.
Key features
- AI-powered autocomplete with natural language processing
- Completely customizable search bar with advanced filters and faceting
- No-code editor allows easy customization without coding knowledge
- Great search analytics that provide insights into customer behavior
- Personalized product recommendations and upsell & cross-sell support
- Advanced search functionality like visual discovery and voice search
- A/B testing for efficient merchandising optimization
Success stories
Brands like Steve Madden have leveraged Fast Simon's AI abilities to enhance their search functionality, resulting in improved customer satisfaction and increased sales. By integrating Fast Simon’s AI-powered search, Steve Madden transformed their onsite search functionality. The autocomplete feature, designed with a horizontal layout on desktop and a vertical one for mobile, showcases product images instantly, helping shoppers find items faster. Using Fast Simon’s self-learning search and analytics, Steve Madden tracks the performance of search terms and filters, ensuring relevance and optimizing results for each customer journey.
IMA has also leveraged Fast Simon to understand user intent, significantly enhancing user experience and sales. Fast Simon’s AI not only predicted customer intent with its real-time autocomplete but also allowed IMA to create search rules tailored to their shoppers’ behavior. This reduced time to purchase and improved the overall user experience. As a result, conversion rates for search/autocomplete visitors were 7 times higher than those simply browsing.
Pros and cons
Instant search and real-time suggestions with autocomplete
Synonym and natural language support
Advanced faceting and filtering capabilities
Extensive customer support and resources
Customized merchandising rules and personalized product recommendations
Can be expensive for larger stores with high traffic
Limited features on the free plan
Advanced features may require technical expertise
