6 AI Use Cases for Mobile Apps
AI has more use cases than being 'chatbots'. Let's explore 6 popular ways you can integrate AI into your mobile app.
When somebody speaks of AI, the first thing that comes to our minds is ChatGPT. But in reality, AI holds endless possibilities for users. This means that you also have endless use cases of AI capabilities for your mobile app.
In this article, we’ll explore 6 popular ways app builders integrate AI into mobile apps.
1. Conversational AI
AI chatbots and voice assistants are the most popular forms of conversational AI. You can find one of them in almost every app these days. The reason is strong: It gives your users access to AI for any query.
Conversational AI is an excellent resource for:
- Voice assistants and voice dictation
- Customer support chatbots
- Knowledge-based chatbots
- Onboarding assistance
If you’re building your app with an AI app builder like Natively, integrating AI into your app is quite easy. You can add your integrations to the project and prompt the AI to build the specific feature you want to add — and you don’t even need to write code for this!
2. Custom Content Generation
Generative AI is another popular form of AI that’s used widely. It allows users to create custom content in your app itself.
You can use generative AI in your app to:
- Generate images and content for blogs and social accounts
- Repurpose existing content
- Generate transcripts and summaries
3. AI Text-to-Speech
AI has gotten exponentially better at understanding and processing natural language. This has led to an emergence of text-to-speech and speech-to-text tools. Now, users can speak what they want to write and the AI will type for them.
But there are more use cases of text-to-speech (or speech-to-text) than this, such as:
- Accessibility for your app (enhanced text-to-speech for more effective use with screen readers)
- Feature for users to add content verbally in the app
- Voice search or voice assistants to make navigating the app easier
- Auditory options for users who prefer that (such as, “listen to this article”)
Such features are helpful for users, whether they’re using a general app or a specific speech-to-text tool. You can find more ways to integrate this AI feature in your app idea.
4. Sentiment Analysis
Sentiment analysis and emotion recognition work on a mix of natural language processing and machine learning models to recognize users’ emotions. In customer service and wellness apps, this is crucial to predict if the user is getting angry or feeling overwhelmed.
If the AI can analyze and predict the users’ emotional state, the chatbot can respond accordingly. Sentiment analysis is often used to:
- Adapt chatbot tone and responses in customer support based on user sentiment
- Help users track their emotions in wellness or journaling apps
- Recommend content based on the analyzed emotional state
If you research more on this, sentiment analysis is useful in almost every AI chatbot scenario. You can integrate this AI function in any scenario that needs chatbots to interact with users.
5. Data Collection & Analysis
Sorting through and analyzing large collections of data manually is time-consuming and tedious in itself. AI can sort through the same data in minutes with minimal errors. Hence, data collection and analysis is another prominent use case.
There are many features you can add to your app with AI data collection, such as:
- Website scraping to track reviews, social media mentions, and more
- Data labeling to sort through poor-quality data
- Create actionable charts out of user data
- Identify patterns and trends based on internal and external data
6. Document Analysis
As the name suggests, document analysis uses AI to read and analyze text in documents to perform the task you assign to it. You can add document analysis to your mobile app for many features, such as:
- Summarize long documents into summaries or short-form content
- Custom knowledge base creation, where people can add knowledge resources and ask questions based on them via chat
- Auto-translation of text in documents
- Search features to find and scan text in images or documents
Conclusion
Other than these 6 AI use cases, there are more advanced forms such as AI agents and coding assistants. You can choose any of these AI functionalities to integrate in your app and make it one step ahead of its competition.
With Natively, you can build your app, add AI features, and preview it — all within a week. And the best part: you don’t need to code any of it. Describe your idea to our prompt box and get a functional app in minutes — try now.