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How can machine learning keep update your mobile app?

Published on 31 October 18
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How can machine learning keep update your mobile app? - Image 1

Innovations in technology and progress in the digital world have provided new chances for companies to attract new customers and retain potential customers. There is a huge difference between mass personalization and true individualization: maximum you can satisfy target audience with a mobile app which has useful features. Machine learning acts like a bridge for individualization of understanding humans, assist them in their task and also give entertainment to them.

In global level, machine learning helps mobile platforms to become more user friendly by improving customer experience, customer loyalty and developing consistent multichannel experience.

In this article, I wrote beneficial cases of machine learning in your mobile app development. Let’s look at how machine learning helps with your business through mobile app:

Personalized experience:

Using machine learning, you can get benefit from the continual learning process. Algorithms of machine learning analyse information gather from various sources like social media activities to provide ratings and pop-up recommendations to customers’ mobile.

Machine learning helps to make different groups of audience based on their interest and customer information then it decide the look of the app. Machine learning helps you to know about your customers, their needs and afford, what pain points they have and feedback about your app. Based on collecting information you can make marketing strategies to reach different target groups.

Advanced search:

Machine learning helps to optimize search in the app, provide the best and more relevant results and make searching more interesting and solve the problems of searching. Machine learning algorithms are also learning from customers’ opinion and provides result, according to them, this helps to reach particular person.

Through the search history and some typical actions you can collect behavioural data from your customers and shows best relevant search results. And your app development company build app with new technologies like voice search and spelling correction that helps more customers for searching.

Relevant ads:

Displaying ads to the customer is not a big deal, but showing relevant ads to the right customers is important. As digital marketing becomes more personalized, this machine learning technology helps to display advertisements to target customers and dispatching personalized messages to customers more accurately.

With advanced technology you can find out customers like they have already purchased and don’t need that product/service in the future. It also helps to predict customer reactions about your promotion so you can show specific ads to customers who are more interested in that product/service. This really helps to save your money and time.

Improved security:

Machine learning not only act as an effective marketing tool but also helps to secure app authentication. Customer authentication is important so that video, audio, and voice recognition makes it possible for customers to authenticate using their biometric data such as face or fingerprint.

Beyond secure login there are many applications of machine, learning about the security like you can count ongoing app monitoring, machine learning detects suspicious activities and ban those users of the app. It also protects your customers from unidentified malware attacks in real time.

Conclusion:

By adopting machine learning technology, you can get success in the business because it works more efficiently and engage users with intelligent requests handling and also empowers your mobile app.

If you wish to stand out from your competitors, give a boost to your business with a machine learning based mobile app. Reach FuGenX Technologies, it is a leading mobile app development companies in UAE and Android app development company UAE

This blog is listed under Development & Implementations , Data & Information Management and Mobility Community

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