With more than 8 million mobile apps available worldwide, it has become crucial for businesses to create an app that can help them stand market growth and competition.
Leveraging growing technologies like Artificial Intelligence (AI) and Machine Learning (ML) can make this possible for you. These technologies can help craft well-tailored mobile apps that provide personalized services and captivating customer experiences.
In this blog, we will discuss a few ways to harness the power of AI and ML in mobile apps and ensure that your app is loved by its users.
So, without wasting your time, let’s begin!
Ways to Leverage AI and ML in mobile app development
AI and ML-powered apps are beneficial to both users and organizations. Utilizing AI and ML in mobile app development enables organizations to boost customer engagement, drive more sales, and improve business processes.
Below are a few ways to harness the power of AI and ML in app development:
1. Increased personalization
Users crave unique mobile experiences or at least experiences that are tailored to their preferences and interests. AI and ML allow businesses to deliver personalized experiences by analyzing their demographics, past purchasing habits and behavior, and more. When your business can offer the right service or product at the right time along with personalized experiences, it is far more likely to make more conversions.
Let’s look at a few AI ML examples of big brands that are using these technologies to increase personalization:
- Uber uses ML to provide an estimated time of arrival and cost to its users.
- Migraine Buddy, a healthcare app, uses AI and ML to forecast the possibility of a headache and recommends ways to prevent it.
- Netflix employs AI and ML technologies to provide users with personalized movie suggestions.
2. Offers relevant ads
Another key role of integrating AI and ML in mobile app development is that you can offer the right products and services to your customers by generating ads that cater to their interests and preferences.
By offering relevant ads, you will ultimately increase sales and improve the brand’s reputation.
For instance, Coca-Cola customizes its ads as per the demographic. It does so by having relevant information on what situations prompt customers to talk about the brand and has, hence, defined the best way to serve advertisements.
3. Get real-time translation
AI and ML technologies allow you to add AI-enabled translators to your mobile apps. While there are many translation apps available, most of them do not work offline. This is where AI-powered translators come into play.
It allows you to translate any language almost instantly in real-time – that too – without any internet connection. As AI enables machine learning, these apps can learn different dialects of the same language and translate them.
Moreover, AI enables the adjustment of translation latency, allowing users to set the lag between spoken words and their corresponding translations. An example of this capability can be observed in Baidu, a Chinese Search Engine. By incorporating this feature, Baidu empowers its users to control the timing of real-time translations, accommodating various scenarios such as live conversations or presentations.
So, translators powered by AI help people to communicate with others across the world.
4. Enhances search
Integration of AI and ML into your app helps you optimize search options. These technologies make the search results more intuitive and contextual for its users. The algorithms learn from the different queries put by customers and prioritize the results based on those queries. Upgrades, such as gestural or voice search, can also be implemented for a better-performing application.
5. Fraud detection
The cases of fraud have been on the rise in recent years, and it has become a cause of concern for many industries, particularly banking and finance. To solve this problem, ML and AI utilize data analysis for fraud checks, limit loan defaults, and more. It also assists you in determining an individual’s capability to apply for a loan and the danger related to giving the loan.
6. Predicting user behavior
One of the biggest advantages of leveraging AI and ML in mobile apps is that marketers get an understanding of users’ preferences and behavior patterns by inspecting different kinds of data concerning age, gender, location, search histories, etc. The data is the key to improving the effectiveness of your application and marketing efforts.
Amazon’s suggestion mechanisms and Netflix’s recommendation works on the same principle. ML and AI help in creating customized recommendations for each individual.
Conclusion
The above-mentioned points show how AI and ML are changing the ways users interact with applications. With the incorporation of AI and ML into apps, you can increase user experience, detect fraud, analyze their behavior, and offer relevant recommendations.
If you are still not sure how to incorporate AI and ML technologies into your app, you can consult reliable top custom software development companies. The experts can guide you through the entire process and make the development process easier for you.
