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App Development
6 minutes read

Mobile Artificial Intelligence: Developing Smarter Applications 

By Jose Gomez
By Jose Gomez
App Development
6 minutes read

Mobile Artificial Intelligence has been a disruptive force in the mobile app development industry. Mobile apps can harness the power of AI technology in various ways to provide innovative services and captivating customer experiences. 

As a result, organizations that want to utilize Artificial Intelligence in mobile applications have several options that can be pursued. 

If your organization is interested in learning more about Artificial Intelligence technology and how it can be utilized in mobile app development, this post will cover how Artificial Intelligence is used in mobile applications. 

However, before we explain the ways Artificial Intelligence is used in mobile application development, it is helpful to understand the ways in which Artificial Intelligence in mobile apps is beneficial to end-users and organizations. 

The Benefits of Artificial Intelligence in Mobile Apps 

AI-powered mobile apps are beneficial to app users and organizations. Combining AI technology with mobile phones gives mobile users greater access to innovative technology, enabling organizations to improve business processes and drive customer engagement and retention. 

The top benefits of AI apps that your organization should be aware of include the following: 

  • Personalized user experiences 
  • Optimized engagement and retention strategies 
  • Predictive marketing 
  • Automation of processes 

Personalized User Experiences 

Artificial Intelligence in mobile apps enables organizations to provide highly personalized user experiences. Users crave unique experiences, or at least experiences that are tailored to their interests and behaviors. 

Artificial Intelligence can enable businesses to deliver personalized experiences by analyzing past user behavior, demographics, purchasing habits, and more. When your business can offer a personalized experience and the right service or product at the right time, it is far more likely to make a sale. 

Optimized Engagement and Retention Strategies 

If you are using Artificial Intelligence to personalize the User Experience, you can also use it to drive engagement and customer retention

Personalization already improves user engagement and retention, but Artificial Intelligence in mobile apps can also analyze user behavior and offer organizations actionable insights to further improve their retention and engagement strategies. 

There is a lot of competition for user attention among mobile apps. Artificial Intelligence can give your organization an advantage and help it craft new strategies based on the behaviors of your target audience and current users. 

Predictive Marketing 

Artificial Intelligence can effectively track and predict industry trends to help organizations develop marketing and business strategies. Predictive analytics is one of the most valuable capabilities of Artificial Intelligence. 

If you want to get ahead of the competition, your organization must identify and act on trends before they become the industry norm. First movers often have an insurmountable market advantage. Artificial Intelligence can drive business innovation through prediction. 

Automation of Processes 

Artificial Intelligence in mobile apps can help your organization automate a vast number of time-consuming, mundane tasks. Automation is not meant to replace your human workers but instead liberate them from handling rote and mundane tasks so they can focus on driving innovation and delivering on the business’s core competencies.

Automation is one of the most essential benefits of Artificial Intelligence. Still, your business must ensure that automated tasks are getting done correctly, and there should always be human oversight to ensure massive errors are not made.

Ways Your Organization Can Use AI in Mobile Apps 

Artificial Intelligence can be used in several ways in mobile applications. The most common ways businesses use Artificial Intelligence in mobile applications include the following: 

  • Machine Learning 
  • Biometrics 
  • Image recognition
  • Speech recognition and synthesis 
  • Chatbots 

Machine Learning 

Machine Learning is a subset of Artificial Intelligence. Mobile app developers can employ Machine Learning algorithms in various contexts to make features smarter or improve analytics

Machine Learning algorithms learn as they operate, enabling them to improve predictions and services. As a result, Machine Learning is arguably the most capable example of Artificial Intelligence available to developers and businesses. 

A Machine Learning algorithm can be trained to do almost anything, which opens nearly endless possibilities for your organization and its mobile applications. In addition, a well-built Machine Learning algorithm will improve with more information and use. 


Smartphone manufacturers have been including biometric features to enhance security, from fingerprint to facial recognition. Biometric features rely on Artificial Intelligence. Since these capabilities are already available on mobile devices, your organization can use biometric technology to enhance the User Experience. 

For example, apps that typically require passwords, like banking, healthcare, and gambling applications, enable users to bypass manual credential entry using biometric passcodes. As a result, biometric access is an excellent way for your organization to use AI to improve the User Experience of its application. 

Image Recognition 

Image recognition is a fun feature you can include in your application that is powered by Artificial Intelligence. In addition, image recognition is vital to Augmented Reality applications and other entertaining and valuable services. 

The potential use cases for image recognition are expansive. There are likely creative ways your business can use Artificial Intelligence technology to add image recognition features to its application. 

Speech Recognition and Synthesis 

Speech recognition and synthesis require natural language processing, a subset of AI. Speech recognition and synthesis features are popular examples of Artificial Intelligence that can add another dimension to your application

Tools like Siri and Alexa rely on these AI technologies to understand voice commands and respond verbally. The popularity of voice assistants demonstrates the value and versatility of adding similar features to your application. 

In addition to being a popular feature among users, speech recognition and synthesis provide necessary accessibility functionality for people with disabilities. 


AI-powered chatbots are extremely valuable to businesses that want to provide customer support 24/7. AI chatbots can handle most customer support tasks, and when an issue arises that requires a human, the chatbot can forward the conversation to a human representative. 

Chatbots can also help answer customer questions and pre-qualify potential leads. This type of Artificial Intelligence mobile app feature has become very popular with businesses, enabling them to provide better customer support at all hours of the day. 

Final Thoughts 

Artificial Intelligence plays a significant role in technology, app development, and society. This technology can be utilized in mobile apps to great effect. If your business has a mobile application, there are ways that Artificial Intelligence can help improve your mobile app and deliver a better experience to users. 

If you want to learn more about Artificial Intelligence in mobile app development, contact an experienced mobile app development partner like Koombea

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