Retrofit AI and Machine Learning into Apps

June 30, 2019

Integrating Artificial Intelligence and Machine Learning into your existing business apps may allow you to gain an edge over your competitors. Arkenea Founder Rahul Varshneya shares how these new technologies have enormous untapped potential in terms of increasing customer engagement and retention.

By Arkenea Founder Rahul Varshneya

Mobile apps have become crucial and control our day-to-day life to a great extent. Constantly evolving tech landscape and changing users’ requirements help developers in building enterprise-grade apps for entrepreneurs and intuitive ones for their end users.

According to Tellables CEO Amy Stapleton, “we are entering a new world. The technologies of machine learning, speech recognition, and natural language understanding are reaching a nexus of capability. The end result is that we’ll soon have artificially intelligent assistants to help us in every aspect of our lives”.

There are certain specific technologies that rule over the app development industry at different periods and for now, AI and ML are the lucky ones. Artificial Intelligence and Machine Learning (ML) are not just advanced platforms but are blessed with immense power to transform the future of human-tech interactions.

Considering today’s mobile-driven world, it is essential for enterprises to invest in app development for simplifying complex business processes and increasing operational efficiency.

Moreover, AI-powered mobile apps allow developers and app owners to build solutions which are immersive, intuitive, and interactive. Also, such apps let entrepreneurs cater to the targeted audience efficiently and gain a competitive edge over business rivals.

AI and ML algorithms can analyze huge amounts of data to identify patterns and develop useful insights based on which you can easily create custom mobile apps. These apps resonate well with your end users which in turn provides you with an opportunity to fulfil their specific demands and boost sales conversions.

If you are looking to integrate ML and AI into your existing business app, consider these five key benefits which you may acquire through integrating AI and ML in your app development project.

1. Personalized Product Recommendations Tailored to Suit Specific Needs of a Particular Customer

According to a recent media report by BusinessInsider, effective personalization has a positive impact on buyers and encourage them to become one of your permanent clients.

Providing a personalized app experience can allow your app to grab more prospects and convert them into repeat buyers. Also, creating tailored and responsive apps can help you in building a robust sales pipeline comprising quality leads which can be easily guided through the funnel and can be converted.

The best way to create personalized experiences is to consider how big brands like Netflix, Flipkart, and Amazon retain so many customers. AI and ML are their secret weapons which evaluate users’ behaviour/habits to offer personalized product recommendations as well as app notifications.

2. Enhanced Security Based on Learning from User Behaviour

Machine Learning tools have the power to learn from user behaviour and identify patterns which can help in making your app much more secure. These programs are trained to recognize uncommon activities and stop them right away so the privacy of the user can be kept intact.

Image, facial, fingertip, and audio recognition are a few of the most important app authentication functionalities with which you can strengthen the security of your AI-driven app. Also, you can integrate restricted access by leveraging ML algorithms in order to boost app safety.

Implementing the best security practices can help you in preventing illegal access to your app. But considering the multiple app authentication tactics, it’s better to roadmap your app with which you can identify the best one for your product and build a protected interface for your end users.

3. Ease of Offering User-Centric Services by Leveraging Real-Time Customer Data

The contemporary app marketplace is highly dynamic where the specific needs of users change every day. In such a scenario, your mobile app must be built with a user-centric mindset in order to satisfy the targeted audience.

Incorporating AI and ML in your business app can help you in identifying specific pain points and preferences of your users. Also, you can explore the data concerning a certain demographic, search patterns, age, app usage, etc.

Based on the analysis you can develop useful insights and send unique notifications as well as alerts to the end users. This will help you to stay in the mind of your targeted users all the time and boost brand awareness.

4. Optimized Search Functionality to Help Users Find What They Want Quickly

With the help of AI and ML, you can optimize the search functionality in your app and provide users with the convenience to search on the go. The AI-driven programs are trained to learn from users’ previous queries and explore their search histories which makes them capable to offer relevant search outcomes. Moreover, you can integrate visual and voice-based search features in your mobile app to make it more interactive and intuitive.

5. Placing Appropriate Ads to Keep App Users Engaged

Business apps can also be used as an economical marketing tool for entrepreneurs. It’s simple you can incorporate relevant ads in your app which can have a positive impact on end users.

For example, if a user is searching for good laptops then you can show him ads of the best laptops. Simple you only have to partner with some of the most popular laptop brands and get paid for posting their ads in your app.

Integrating AI and ML in your business apps may allow you to gain an edge over your competitors. These technologies are new and still have enormous untapped potential. Take advantage of the advanced tools available to build modern apps for better customer engagement, higher retention, and business expansion.


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