Follow Us on Google
By Ibukun Oshilagun
In a statement by Ibukun Oshilagin who said “We have all been in that weird, funny, or sometimes annoying situation when the apps on our phone can suddenly tell that we have been wanting to get a new refrigerator or start showing ads for a clothing item after we have had an exact conversation about that with our friends online. Out of nowhere, your music app picks the perfect playlist, your online store suggests exactly what you need, and your news feed curates stories that match your interests. This is not happening by magic but is AI-driven personalization at work, modifying digital experiences to fit you” . According to research from Epsilon and McKinsey, nearly 80% of consumers are more likely to interact with companies that customize experiences to meet their needs. On the other hand, 71% of consumers are not satisfied when brands fail to personalise their products. Based on these findings, it is safe to say that customisation is expected today and is not just a perk that brands offer customers.
“I have been investigating how technology may make digital encounters feel more personal for the past few years as a UX designer working with AI. Specifically, I supervised the overhaul of the Online Banking Portal dashboard at Qore, a cloud-based central bank software supplier, where I used artificial intelligence (AI) personalisation to build financial dashboards that adjust to the demands of every user. I designed a flexible interface that continuously changes based on financial expertise, goals, and usage behaviours by closely collaborating with data scientists to determine important personalisation characteristics and user categories. Additionally, I developed a transparency-focused personalisation settings panel, made adaptive visualisations for varying financial literacy levels, and measured impact using A/B testing.”
“I have seen firsthand how AI-driven UX can increase user satisfaction and propel corporate success. I will discuss my experiences and how AI is influencing the development of personalised digital experiences in this article.”
Personalization in UX Design, Rigid, “one size fit” approaches just do not work in this current climate where there is no such thing as an average user. Even though UX design cannot be strictly termed marketing, it is still all about making a product desirable for users, so personalisation needs to be evident in user interfaces and experiences. So, instead of pre-set layouts, digital experiences now change to suit a user’s needs and preferences. Businesses that do not conform risk losing existing customers or even getting new ones, especially since the human attention span or brand messaging has shrunk to 8 seconds. Since manually creating personalized experiences for millions of users is nearly impossible, designers turn to AI-powered technologies to develop more intelligent, user-friendly experiences that instantly adjust to users, something that traditional design just cannot do. The goal, however, is not to entice consumers into making more purchases, clicking more, or spending endless minutes in front of a screen. AI should, instead, make digital interactions feel natural, intuitive, and, above all, human.
How Does AI-Driven Personalization Work? AI pays attention to how you use apps and websites. It notices what you click on, how long you stay on a page, and when you are usually online. Over time, it learns what you like and how you behave. This helps it understand you as a person with your own habits, not just another user in a system.
Benefits of AI Personalization includes making life easier for users. For a stressed-out mom balancing family obligations and work deadlines, every second matters. An AI-powered email assistant could help her prioritise important messages, recommend suitable responses, and even easily schedule her meetings. Similarly, a streaming app can automatically create the ideal music to fit the environment while on a road trip by remembering user preferences. Additionally, AI is not only practical for people with disabilities; for example, AI-driven applications like Wheelit, Moovit, and Soundscape allow those with visual impairments and people with reduced mobility to go about their daily lives with fewer difficulties.
For businesses, AI personalization can be the key to profitability and customer loyalty. For example, Amazon is well known for its AI strategies that have allowed it to grow from an online bookstore to a global marketplace. Amazon’s recommendation engine relies on AI, accounting for 35% of its total revenue. The system generates highly personalised product recommendations by analysing large amounts of data on consumer preferences, browsing behaviours, and purchase history. Every click, search, and interaction contributes to a dynamic profile, resulting in a comprehensive view of the behaviour of each shopper. By using hundreds of data points, AI can anticipate what customers may require before they even realize it, making the buying experience smooth.
AI also has its uses in the world of healthcare, providing doctors a head start in saving lives by identifying early warning signals of disease and not only suggesting medications and treatments. Education is also changing with real-time adaptive learning technologies that make sure that students understand difficult subjects without becoming overwhelmed.
The Use Of AI Personalisation in Financial Services
AI equally helps in delivering personalized experiences in financial services, from personalized customer recommendations to efficient customer support to users in financial services. At Qore, where I served as the senior product designer, I have used AI to create smarter, safe, and user-friendly designs. Specifically, led the redesign of our Online Banking Portal dashboard, using AI-driven personalization to transform digital banking. Working closely with data scientists, I defined key personalization factors and user segments, ensuring the system adapts in real time to each customer’s financial expertise, goals, and habits. The modular design allows the dashboard to evolve with the user, providing a smooth experience.
Even though our platform is still in beta, the early feedback is promising. Users say it truly understands them and adapts to their financial needs. Financial advisors using our pro version love how AI-powered personalization helps them guide clients of all experience levels. The project also ticks all the boxes of responsible personalization. Our approach balances automation with user-driven customization, ensuring transparency and trust. While we are not winning awards yet, this project is paving the way for a more user-friendly, responsible, and intelligent digital banking experience.
Future of AI in UX Design
I strongly believe AI is going to make our digital lives a lot smarter in the coming years. We will have digital assistants that feel more natural, systems that guess what we need before we even ask, and better rules to keep our data safe and build trust. For designers and businesses, the challenge is to use AI in the right way. By being open about how it works and putting users first, we can create tech that’s not just smart but also reliable and ethical.
Conclusion
AI is changing the way we design digital experiences, making apps and websites more personalized and easier to use. It helps with things like smart recommendations and flexible interfaces that adapt to users. However, while AI can improve user experiences, it should not take away people’s control. Designers need to find the right balance by using AI to make smarter interfaces, not impact user control. Looking ahead, the big question is: How do we make AI-driven design both creative and fair to users? The future is up to us.
