Artificial Intelligence

Artificial Intelligence – An unbeatable way to Enhanced UX on Mobile Apps

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Mobile apps downloading crossed all the figures to date. 2018 marked more downloads of a diversified range of mobile application; both by Android and iOS users. App Annie reports a 10% increase in mobile apps download and 22% increase in money spent on app development. In this scenario, imagine Artificial Intelligence being leveraged to accelerate the process.  It establishes the idea of rising trend of mobile app development. Today, there will be hardly a B2B company without custom mobile application. It is an essential element for customer satisfaction that’s necessary for business growth and development. And, the present-day hype of Artificial Intelligence (AI) makes it is vital for the businesses to have their mobile app built on this ground. AI helps to enhance the user experience in mobile enterprise applications.

Artificial Intelligence is today’s fast-growing reality. The corporate world is turning to this reality even on faster speed. In modern times, every Android Application Development Company endorse the AI realism. For the reason that today, all sorts of AI-related works are domain-specific and relates to human-designed capabilities.

Progression of Artificial Intelligence:

Progression of Artificial Intelligence

The broad term ‘artificial intelligence’ is sliced into following subcategories:

NAI (Narrow Artificial Intelligence) performing single tasks for a specific platform. For examples; Smartphone apps, Alexa, Cortana, Chatbots, Siri, Google translate, etc.

AGI (Artificial General Intelligence) for complex tasks based on human cognitive skills. For example; ASIMO by Honda.

SAI (Super Artificial Intelligence) performs more intricate tasks with self-replicating, and self-repairing features. For example, autonomous vehicles. There are several sci-fi movies such as Terminator and Star Trek contain fully self-aware and self-controlled characters- Skynet and Replicator to name a few.

Let’s make it a bit simpler. As the AI examples suggest, this broader term can be fragmented into clear and comprehensible terms such as

  • Robotics.
  • Machine Learning.
  • Cognitive Computing.
  • Deep Learning Algorithms.
  • Natural language understanding.

These are some of the popularly known sub-fields of artificial intelligence. It is no more surprising for a person to understand the importance of AI and how it can influence the digital transformation in any walk of life.

Artificial Intelligence as a solution for improved UX/UI of mobile apps:

Artificial Intelligence for Mobile Apps UI/UX

According to studies, the majority of the people tend to delete a mobile app within a week of download. Surprised? No need because most of the apps are built for set-purpose and as the job gets done the user deletes it.

Another reason for quitting an app use is poorly developed user interface. It’s not surprising but appalling that app-builders put fewer efforts in making their products user-friendly. There is a common observation that app developers believe in giving all essential and additional features the customers look for in a mobile app. However, if the users do not find them useful and easy to search and navigate they will discard the app right away.

What’s more shocking is that they spread a negative word of mouth for your product that will leave a destructive impact on your business reputation.

Let’s give a positive boost to the customer experience – fix the mobile app issues using artificial intelligence.

AI helps to build smart mobile applications that users couldn’t resist downloading and using; minimizing the ratio of customer recession. It aids cultivating the consumers’ loyalty to your brand.

If you are a software development company, then machine learning algorithms got you covered. For instance, you need to make a useful app with strong consumer relevancy. With these algorithms you can build an app that treat data collection and knowledge of consumer behavior as one entity.

The collection of data will be in the form of users’ proportion, their demographics, engagement time span, and actions they take, etc. Whereas, knowledge of user behavior pertains to their overall interest in a particular or recently added app feature. For example, in a magazine app, an avid reader can spend hours reading their favorite stuff, while in a gaming app a binge gamer can consume countless hours in achieving the targets. Likewise, a student would love reverting to McDonald’s online ordering app every time he feels hungry or comes across the promo deals.

AI solution should be relevant to your business niche.

It will help the businesses in furnishing customized experience to the target audience. Customer satisfaction is a top priority for every single company, and mobile applications based on AI solution serves the best in customer acquisition, engagement, and retention.

For example, chatbots used in hospitals, traveling apps like Uber and food ordering applications.

AI is used by the majority of the business to deliver a seamless mobile app experience to their valuable customers.

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