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Artificial intelligence (AI) is transforming nearly every aspect of our daily lives and revolutionizing user experience (UX).

UX is an ongoing process, not a one-time task. It involves placing the customer at the heart of your strategy and making informed business decisions driven by customer data.

Consider how quickly people switch between devices while searching online. They can seamlessly transition from one to another in seconds. This shift is reflected in the rise of voice search, the widespread use of chatbots, and the growth of visual recognition technology. Additionally, AI enhances in-store experiences, using technology to engage customers and encourage purchases.

AI simplifies the design of products that deliver an outstanding user experience. In this article, we explore six ways AI can benefit UX and product designers.

Image recognition, powered by AI, enables systems to identify and classify objects, people, text, or scenes within images or videos.

While this technology was initially used in scientific fields—such as Google using it to categorize objects in images—it has since found applications across a variety of industries, particularly in eCommerce.

A prime example of this is Sephora, a personal care and beauty retailer, which has successfully integrated AI to boost both online and in-store conversion rates.

Sephora’s Virtual Artist technology allows customers to virtually try on thousands of products through its mobile app. Meanwhile, the Sephora Color Match technology, available in stores, helps customers find the perfect product shade and offers personalized recommendations from their product range.

These AI-powered tools are now performing tasks that were once handled by store assistants. The results speak for themselves—Sephora saw a 35% increase in online makeup sales due to the virtual try-on experience, demonstrating the significant value this technology adds for customers.

Personalization involves customizing product experiences to align with the preferences, needs, and behaviors of individual users. While personalization has been a key factor in enhancing user satisfaction, boosting engagement, and building brand loyalty for years, the rise of AI has taken it to a whole new level.

Today, major tech companies use AI-driven personalization in various ways. For example, Amazon provides tailored product recommendations for online shoppers, while Apple Siri offers personalized reminders, navigation, and weather updates. Streaming giant Netflix uses AI to analyze user behavior—such as watch history and search patterns—to suggest shows that match individual tastes. It might recommend a selection of popular comedies to users who prefer lighter genres or suggest more intense visuals to those who frequently watch thrillers.

If you’re looking to bring personalization to your products, platforms like CleverTap and Dynamic Yield can help. These tools allow you to create personalized customer experiences based on factors like demographics, behavioral data, and real-time actions, fostering stronger user engagement. Dynamic Yield, for example, utilizes advanced AI models like Shopping Muse to predict customer behavior and provide relevant recommendations across the web.

Good product design is inherently accessible design. Accessibility ensures that users of all abilities can interact with and benefit from your product. While creating accessible design often requires significant investment from the product team, AI can assist with many tasks, making the process more efficient. For example, YouTube uses AI to generate automatic captions and provide subtitles in multiple languages, helping content reach a global audience.

In web design, AI can streamline several routine tasks:

• Generating alt tags for images: AI can automatically create descriptions for images, making the website more accessible to users who rely on screen readers. Additionally, these alt tags improve SEO by providing search engines with more context for the images.

• Text-to-voice translation: AI can offer automatic text-to-speech conversion, catering to users who prefer audio over reading.

• Dynamic font adjustments: AI can adjust font styles and text sizes based on individual user preferences for better readability.

• Automatic video chaptering: AI can identify key sections in a video and create shortcuts for easier navigation, allowing viewers to jump directly to the content they’re interested in.

• Image recognition: Using computer vision, AI-powered apps like Be My Eyes and TapTapSee assist visually impaired users by identifying objects, reading text from images, and describing scenes.

By incorporating AI, accessibility design can be more seamless and effective, enhancing the user experience for a wider audience.

Behavioral analysis is a crucial component of product design. The more a product aligns with user behavior and expectations, the better the user experience will be. In the past, the product team had to manually collect large amounts of data, categorize it, and extract meaningful insights. However, AI tools have significantly streamlined this process. Platforms like FullStory and Hotjar use machine learning to analyze user behavior on websites and mobile apps, providing actionable recommendations for improving the user experience.

FullStory offers detailed session replay capabilities, allowing product teams to observe user interactions in real-time. With tools like heatmaps and conversion funnels, teams can pinpoint pain points and areas for improvement. This data can be used to optimize web layouts, improve operational efficiency, or adjust UI text to better resonate with users.

Hotjar combines heatmaps, session recordings, and user feedback tools to reveal how visitors engage with content. AI analyzes user actions such as clicks, scrolls, and mouse movements to create heatmaps that highlight areas of high engagement. This helps teams gain insights into user behavior and preferences, which is particularly valuable when optimizing specific design elements like call-to-action button labels.