How to Improve Your Mobile App with AI Solutions

Learn why AI in mobile app development is a revolutionary breakthrough in developing digital business solutions.

 AI in mobile app. How to create app using ai? 

Today, the mobile app market is literally flooded with new products, and this trend continues to gain momentum. This is what motivates leading companies to create high-tech and relevant applications that will succeed in the modern digital market. To ensure such results, developers are looking for innovative solutions that will make the finished product highly efficient and competitive all in one.

One of these innovations is AI. Today, it’s transforming the mobile app development sphere and influencing every stage of work with a new product. In short, AI is a technology that imitates human intelligence based on the input data, which it learns from and makes its own judgments. It’s present in almost every industry: finance, education, logistics, e-commerce, medicine, etc.

Statistical companies estimate that the AI application market will generate $2.5 billion in revenue in 2022 and grow at a CAGR of 38.3% through 2028. Impressive data, isn’t it? This suggests the rising of innovative trends in mobile app development and further use of mobile apps based on AI. 

AI in mobile app development. The future features

Numerous inventive patterns emerged as mobile app developers kept delving into the potential of AI. Some of these trends are already reflected in popular mobile apps, while others may shape the future of their development. The significant trends in AI-powered mobile app design and development include the following points:

Voice-based user interfaces. These are voice applications and assistants that recognize and process natural language using AI. They greatly facilitate interaction between users and applications and provide access to information using voice commands.

AI-enabled chatbots. They are especially popular among service companies where it’s important to provide information to customers quickly. Therefore, chatbots with built-in AI functions are widely used to improve user experience and increase customer loyalty. They not only understand the language but also generate contextually relevant responses, thus providing positive feedback.

Emotion recognition. Emotion recognition technologies based on AI study facial expressions, speech patterns, and text input. The collected data helps the application analyze and understand the user’s mood. In the future, this technology will help developers create applications that accurately respond to users’ emotions and personalize their user experience. 

Predictive text input. AI text typing systems are rapidly evolving and making the writing process faster and more accurate. What do they do? They analyze input patterns, predict the next word or phrase, and adapt to the user’s writing style. This technology will find its place in messengers and social networks. 

Computer Vision. Computer vision algorithms based on AI let mobile applications recognize and interpret visual input. They pave the way for new user requests such as image search, visual shopping, and object tracking. This future technology will definitely improve the efficiency of e-commerce platforms.

Why is AI already necessary for mobile apps?

AI technologies become popular in mobile app development, revolutionizing how developers design, test, and maintain digital products. AI in mobile app development has become a necessary aspect due to its ability to:

Personalize and improve user experience. AI can analyze user behavior and preferences to provide personalized app experiences. Personalized mobile apps provide a better user experience by understanding user needs and dynamically adapting content.

Process Automation and Increase Productivity. Testing and development processes can be optimized with AI-powered automation. With this option, developers can focus on vital aspects of creating apps, increasing productivity, and reducing development time, and cost savings at the same time.

Enhanced Security. Security tools based on AI technologies can analyze user behavior patterns and identify potential threats, keeping sensitive data safe and improving overall application security.

Conversational Interfaces. Chatbots and AI-powered virtual assistants let users interact with mobile apps in a more natural way. These conversational interfaces give the opportunity to receive help and information in a human-like manner. 

Device resource optimization. AI can effectively manage device resources such as battery and memory usage. In this way, you’ll improve mobile apps’ performance and energy efficiency with AI possibilities.

What business AI functions help grow up your apps?

The potential of AI in business is limitless. It excels in customer service and process automation, including data updates and real-time invoicing. Mobile AI also understands and predicts customer preferences and personalized advertising by working around the clock in support services. AI can improve the following business functions of apps: 

Ad personalization. Showing personalized advertising to clients increases their interest and loyalty by improving sales. Therefore, companies work so hard to achieve this ability. AI is useful because it can identify customer habits and action patterns by studying their purchasing behavior.

Automation of customer interaction. Most customer interactions, such as sending emails, and making phone calls, usually require human interaction. AI allows companies to automate these methods of communication and transfer workers to places where only a reasonable person can handle them. By learning from data obtained from previous conversations, AI can more accurately respond to customer requests and process them automatically. 

Labor automation. If the company daily passes through its systems a large flow of clients or employees who need assistance, it can transfer some of the processes to machines. AI will cope with routine work faster than humans. AI will be useful for fleets that track the location of their trucks, buses, and taxis. 

Business automation. AI in business can use related technologies to increase the percentage of automation. The number of erroneous actions is reduced to a minimum by eliminating the human factor.

Predicting results. AI is capable of predicting results with high accuracy based on data analysis. It can discern patterns and regularities in data, such as consumer behavior. These findings will tell the business owners which products will sell better, in what volumes, and in what season.

Machine predictions are helpful in many other industries besides retail. AI can predict price fluctuations in stocks, commodities, currencies, and cryptocurrencies.

What do you need to think about before implementing AI solutions for your mobile app?

At this point, you already understand the need to use AI in mobile app development. Despite the numerous possibilities of this innovative technology, you should prepare thoroughly before implementing AI in your project. So, to successfully implement AI, you need to consider the following:

Ethical Issues. The use of AI raises ethical questions about process transparency, user data privacy, and overall data security. It’s worth developing and implementing clear policies and guidelines for AI use to ensure that further work on mobile app development complies with all standards and regulations.

Data privacy issues. You know that apps often require the collection of large amounts of user data. This trend can sometimes cause users to worry about the safety of their data. Therefore, developers should find a balance between using data to improve the quality of apps and protecting their privacy.

Talent and skill requirements. Integrating AI technologies into mobile apps requires a team of qualified AI experts. Those who can develop the necessary ML models, algorithms, and data analysis tools. Lots of small and medium-sized businesses have difficulty finding and retaining such talents. So, keep this point in mind.

Complex integration. Mobile apps often require complex algorithms and data infrastructure to integrate AI solutions successfully. A task like this can take a long time and require a lot of effort, so it can be challenging for small teams.

What are the risks of AI solutions in your mobile application?

AI app development offers various benefits that can revolutionize this area of activity. However, they also come with their specific challenges. The most significant risks of using AI solutions in mobile apps imply the following nuances: 

Setup restrictions. AI technologies can have limitations in terms of customization. The developers may need help to create highly specialized AI models tailored to the unique requirements of specific applications.

Additional learning. Even with no-code tools, training is still required to understand how to use the platform effectively. The developers will have to spend some time getting familiar with this tool.

Scalability limitations. Certain platforms may have scalability limitations, especially when working with large data sets or when advanced AI processing capabilities are required.

Integration problems. Integrating AI components with existing application architecture can be challenging. The developers need to ensure seamless integration without compromising the performance of business apps.

Maintenance and updates. As AI technology evolves, business owners need to keep their applications’ AI components current. This task requires constant maintenance and updates to keep the application current and secure.

Creating AI models free from bias and ethical issues can be challenging. The developers must ensure that their AI-powered features provide fair and objective results.

What benefits and value can AI solutions provide for your mobile app?

In addition to making digital products more entertaining and user-friendly, AI technology in apps represents cutting-edge trends in AI-powered mobile development. Additionally, it creates new opportunities for how users interact with and consume digital content on their devices.

AI solutions provide mobile apps with the following benefits and values: 

Improved user experience. A mobile app powered by AI offers personalized recommendations, provides context-sensitive content, and also understands the user’s preferences and needs. This approach increases personalization. 

Improved app functionality. The introduction of AI technologies such as natural language processing, ML, computer vision, and speech recognition has improved mobile app functionality. User interfaces can become more intuitive, understand complex input formats, and provide better contextual relevance.

Data-driven decision making. AI-enabled mobile apps can collect, analyze, and use user data to make better decisions. It’s about improving app features and UX design to optimize marketing and monetization.

Increased development efficiency. A lot of the mobile app development process can be automated with AI tools. For example, creating user interfaces to identify and fix mistakes while reducing manual workload and accelerating development timelines.

Competitive advantage. The use of AI in mobile app development can give companies a competitive advantage like innovative, unique features that separate their apps from their competitors.

Businesses that use AI already save money and become more efficient. All the other business owners leave the markets because they lose to them.

The best examples of using AI solutions for mobile applications

AI has penetrated all areas of modern society’s activity. People use it on most of their smartphones. Сompanies order the development of mobile apps with AI to perform their business tasks. The fields of application of mobile apps with AI solutions include the following examples: 

Banking and credit services. Banks are using AI to detect fraudulent activity. They train models on a very large data set that contains transactions from both fraudulent and legitimate users. Lending departments are increasingly adopting AI to assess customer creditworthiness more accurately. According to bankers, machines already make more than half of the decisions on loan applications.

Retail. Every second online store has a chat through which visitors contact sellers and support services. Typically, the first contact occurs with a smart chatbot. The AI operating in most chatbots understands natural language, so it consults customers, answers queries, and offers goods or services just as naturally as a human.

Cybersecurity. As cyberattacks grow and hacker techniques become more sophisticated. Business owners need to be more specialists to protect against them in advance rather than deal with the consequences of hacking. In the current realities, leading IT companies and other businesses have begun to increase spending on cybersecurity.

Fintech. AI is becoming the foundation for creating the next generation of financial services. It helps fintech companies compete with traditional credit and insurance organizations or interact profitably with them in B2B. In B2C, robo-advisors for financial planning and savings management have proven themselves well.

AI apps engage customers by recommending products and improving the personalization of their customer experience. These apps set up advertising, automating pricing and PPC campaigns by maintaining websites to create content and optimize pages.

What insights can our team provide on the mobile app with AI solutions?

Neural networks cannot become the absolute solution for everything. However, they excel at solving complex problems. The use of AI in mobile devices continues to involve the inclusion of personal assistants. AI studies users’ habits within various applications by identifying preferences. Thanks to AI technology in apps, developers and marketers are now closer to understanding user behavior by learning about actions, preferences, purchases, etc. 

TRIARE follows the same approach by allowing the clients to study user behavior patterns to make their experience personalized and productive. The developers allow the business owners to enjoy a full range of options to reveal the most effective IT solutions. TRIARE services can involve the following steps:

• Analysis of company needs.
• Initiation of an action plan.
• Development of a custom AI-based application to perform specific business tasks.
• Testing a new digital product.
• App improvement.
• Constant support to increase effective functioning and modernization of apps’ functions.

The developers allow their clients to benefit from the usage of AI in delivery apps. At the same time, TRIARE has the necessary knowledge and experience to develop mobile AI for medical purposes by helping specialists in dental surgery. 

Conclusion

AI algorithms help companies collect, analyze, and use user data to make better decisions. Such information, for example, can be used to create the most convenient UX, optimize marketing strategies, and expand business monetization options. TRIARE allows business owners to receive maximum advantage from mobile apps with AI solutions. AI can conduct completely “human” dialogues with clients and automate most of the standard processes. As a result, the company will be able to maintain round-the-clock communication with its audience, increase its loyalty, and significantly reduce the cost of qualified personnel.