AI in mobile appsThe role of artificial intelligence in businesses is a hot topic. It is not surprising that AI might guide in radical – arguably unprecedented – changes in the way people live and work. Nevertheless, the AI possibilities are endless and seamless, especially when integrated using context-aware chatbots or sensors with mobiles. AI can potentially be used as a tool by customized mobile app developers to attract and retain customers.

Before moving ahead, let’s quickly discuss how AI drives the mobile app market using in-app personalization?

Let’s get started!

What’s Artificial Intelligence?

The buzz around AI is loud enough to not know about it. The term “artificial intelligence” refers to a system with the ability to copy intelligent behavior and make autonomous decisions. A branch of computer science, AI, can perform tasks that usually require human intelligence – for instance, situational or environmental analysis, problem-solving, reasoning, learning, and comprehensive language.

AI divides this into five broad categories: computer vision, natural language, virtual assistants, robotic process automation, and advanced machine learning, according to McKinsey Global Institute.

The AI market will grow to a $190 billion industry by 2025, according to research firms Markets and Markets. 70% of companies might have adopted at least one type of AI technology.

The possibilities in AI are endless. When it comes to mobile, it can be embedded using chatbots or in context-aware sensors. Several companies have already started to build scalable AI strategies focused on creating value for their customers.

Here’s How AI is driving mobile app personalization 

Many tech giants like Uber, Amazon, Uber are already taking advantage of artificial intelligence, which has shown excellent results. AI development in mobile apps allows a business to provide personalized and accurate customer services. Mobile apps are using AI in different ways to remain influential and develop an excellent and spontaneous user experience for their customers. Here’s how AI is driving mobile app personalization:

AI helps to know your customers. 

Businesses who know their audience well are booming right now. Learning customers has been a tricky part of every business. Data insights are one of the primary tools for customer experience (CX) enhancement.

Suppose you have a problem with a company’s product, and you call their customers’ support. While you may be looking to speak with a human, you may interact with a computer first, as seen in the initial step towards solving the problems. This is not the traditional “virtual response system” where the computer frustratingly demands if you repeat itself over and over again.

The core feature of AI is that machines understand customers, regardless of their accents and language dialects.

The main question is – what do customers want? The answer is never straightforward. Since we can only make assumptions, and it may result in a significant loss. As we all know, building an app is not at all a small investment, and it will take thousands of dollars to develop a successful app if you do not want to let all the hard-earned money go down the flush.

With advanced AI algorithms, it has become easy to figure out customers’ likes and dislikes. You can design everything according to your customers’ preferences from the app’s theme, colors, fonts to animations, and features. Also, you can ensure that they don’t have any reason to hate it.

This way, AI helps to avoid all the pitfalls that might cause users to hate your app. It also ensures that they never leave it. 

Personalization vis data analytics 

There’s another critical way AI is transforming the customer experience; by providing personalized content. Finding out a new product is now easy due to recommendations based on browsing history. For example, YouTube, Netflix, Hulu, and Spotify are great examples of providing personalized content in terms of videos, movies, music, and TV shows.

We live in an era where AI knows everything about our relevant needs and wants. AI takes help from cloud storage, where companies are storing their data and analytics insights. For example, both Azure and AWS offer deep expertise in building applications around AI. This technology enables companies to quickly scale their AI capabilities by leveraging public cloud leaders’ abilities and experience.

When it comes to eCommerce personalized recommendations, companies are turning to AI services to develop customized content. Shoppers tend to buy from a company that has taken the time or has used a program to get to know them. They like it more when the marketing messages target them directly. 

Automation for better suggestions 

Automation doesn’t mean AI has completely replaced human interaction in your app. Rather, it will only help you make faster and better decisions with mobile apps. For example –

  • Apps like Zomato, Swiggy use automation to create and display the list of finest restaurants near a user’s locality.
  • Moreover, apps like Ola and Uber use automation to find the nearest ride.
  • Google Maps uses automation to display the shortest routes based on the existing data.

In all the above cases, mobile apps’ AI development can save time and money by automating some tasks. As a result, users want to engage with mobile apps more and more.

AI Offers apps a scope for improvement.

There’s always a possibility to enhance a mobile application. If developers don’t know which area of the app needs improvements, putting any significant efforts is impossible. Mobile app developers might update the app based on wild guesses, but releasing updates might offer no real help. Using artificial intelligence technology, mobile app development companies can improve the application significantly with each update.

The Bottom Line 

The progress and availability of AI and its integration in mobile apps bring unprecedented changes to the way developers and users consider intelligent interactions within mobile apps. Several apps are already being developed using AI and machine learning. The companies that provide mobile app development services with integration to this technology will only accomplish excellent user experience while increasing their business success.