How to Improve UX with AI and Machine Learning [7 Unheard Ways]

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Businesses are endeavoring to enhance user experience now and then and adopting all the required tactics for it. Artificial intelligence and machine learning technology are among the best technologies to improve UX. This blog emphasizes how you can improve your app UX via AI and machine learning.

Artificial intelligence and machine learning have become a notable buzzword across multiple industries in recent years. While AI and ML have been useful in healthcare, social, entertainment, education, and finance sectors, the mobile app industry provides more promising areas for AI and ML. Many top apps developer companies say that AI and ML have been making waves by enhancing the user experience on apps for quite a while now.

Let’s check out some latest and impressive AI and Machine learning stats:

  • Netflix uses its AI and machine-learning algorithm to continually improve its user experience and powers its service to attract new users.
  • Nearly 70% of Americans use digital assistants every day to get their work done quickly and efficiently.
  • 97% of mobile users are using AI-powered voice assistants.
  • 85% of customer interactions will be handled without a human soon.
  • Per Accenture, AI and ML will boost profitability by 38% and generate $14 trillion of additional revenue by 2035.

What Is User Experience (UX)?

In layman’s terms, user experience comprises all the aspects of the end-users interaction with the app. It’s how a person feels while interacting with your mobile app. It describes how people feel when navigating your app. Many elements contribute to it, such as UI, usability, user intent, and user research. So, user experience is all about functionality.

Importance of UX in Today’s Age

The growth of the UX design field is breathtaking but well deserved. Thanks to apps design company, due to which, the app’s quality has increased dramatically.

Coming to the importance of user experience, as per the Forrester report, every $1 invested in UX, results in a return of $100. That’s an ROI of 9900%, and it’s huge. This figure alone screams the importance of UX in today’s time aloud.
To put it simply, UX is important because it fulfills the users’ needs. It aims to provide positive experiences that help keep your users loyal to your brand. Moreover, a relevant user experience allows you to define customer journeys that are helpful to business success.

What Are AI and Machine Learning?

Artificial intelligence and machine learning, these two buzzwords are often used interchangeably. However, they are not quite the same thing. AI is the broader concept of machines being able to carry out tasks in a way that we would consider smart. Utilizing AI in mobile app development the right way can work wonders for your app.

On the other hand, machine learning is a subset of artificial intelligence that allows systems to learn and improve from experience without being explicitly programmed automatically. With several benefits of integrating ML into mobile apps, almost every industry is adopting this immersive technology.

7 Working Ways AI and ML Can Improve User Experience in Mobile Apps

In today’s fast-paced digital era, where many are adopting AI technology to grow their businesses, some are still stuck to the basic question like ‘how artificial intelligence is beneficial to businesses.’ Well, there are numerous ways and the list is never-ending.

Both AI and ML technology can observe and analyze user behavior, optimize various processes, lead up-sell, cross-sell, and many other things. Here are some ways how AI and ML can improve UX in mobile apps, benefitting the business. Let’s get right in!

Personalized Experience

Have you ever thought about how social media shows ‘people you may know’ suggestions or e-commerce platforms ‘buying of products’ recommendations to you? This is the aptest example of ML. Integrating ML in mobile apps enhances user experience, gives your app a unique voice, and helps you stand out from others.

Businesses can use ML to know their potential customers, customers’ needs, preferences, user intent, and more and benefit the brand. By using advanced algorithms and predictive analytics, ML app developers can create an immersive machine-learning-based app that leads to a smart user experience.

Intelligent Algorithms

Artificial is known for its intelligent algorithms that make everything effortless. Likewise, artificial intelligence’s smart system can process information about app users flawlessly, then apply changes to the design in ways that optimize it for future use. By continuing learning, artificial intelligence uses its algorithms and helps AI developers to create a better UX for mobile apps that offer a more engaging experience than before.

Advanced Search

DIY videos, frequently asked questions, articles, scripts, and others are the most fitting example of ML integrated for advanced search. ML takes data from previous searches and prioritizes the results based on their interests using its unique algorithms. By incorporating ML in apps, you enable your users to optimize their search. ML is clearly improving the user experience by making the search faster and smarter.

Deep Learning

AI uses its deep learning skills and analyzes thousands of different variations, and then generates the best alternatives possible to improve your mobile app UX. Deep learning can be applied in many UX facets, such as creating buttons or graphics on your app for improved UX. By pairing this deep learning technology with behavioral data insights, AI can improve UX in more relevant and likely ways to connect with users.

Personalized Ads

Customers expect content that is both useful and contextually relevant, and that’s the case with even ads. Showing the right ads to the right group of audiences at the right time can do wonders for your apps in terms of credibility and user experience. That’s where ML comes in. It gauges your audience, reaches the right ones, and shows them the right kind of ads, resulting in improving user experiences and maximizing your ROI.

Improved Customer Service

While using any kind of service, people get stuck, and when they are stuck, they would need fast assistance (or rather super-fast). That’s where ML plays its part incredibly and delivers improved customer service.

Chatbots can handle ‘n’ number of queries efficiently with zero possibility of errors. As chatbots benefitting healthcare, e-commerce, and banking industries, integrating ML in app’s chatbots will surely ensure that your customers are getting the answers to all the queries they make, improving your app user experience.

Improved Security

People can’t compromise with security, especially in today’s digital time, where we hear the news of data-breaching and stuff now and then. To give people assurance, integrating AI and ML into your apps can be a smart decision.

Allowing your users to authenticate critical data with the use of biometric information, such as fingerprint or face detection with high-end security, not only help them keep their stuff safe but also build trust in terms of security among your audiences.

Final Words

It is doubtless to say that no other technology can enhance UX the way AI and ML do. Do you know why? Because their algorithms are intelligent and unmatched. Many companies have already started leveraging AI and ML to improve their app user experience and maximize their ROI. When are you going to?

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