Not integrating AI into your mobile app is like choosing to walk even when you have a car. There are so many ways integrating AI enhances mobile apps that there’s no reason not to.
The market size of AI is projected to reach $300 billion in 2024 and it’s going to be a hot topic for years to come. It’s revolutionizing every small interaction inside a mobile app, making it more intuitive and engaging.
In this blog, WDI will share with you five ways you can integrate AI into your mobile app development.
5 Use Cases of AI in Mobile App Development
The benefits of AI are endless. However, WDI has compiled the top 5 ones for a business here:
Hyperpersonalized Experiences
Wouldn’t it be wonderful if your app could deliver exactly what the users want? That’s what AI allows you to do.
It’s common knowledge that personalized experiences are key to increasing sales and conversions. If you give users exactly what they need, they are very much likely to interact with it.
Analytical AI+ and predictive AI are the driving forces behind hyperpersonalization. Your mobile app can monitor and analyze user behavior using analytical AI. It understands user preferences and creates patterns to figure out what the user will do next. Using predictive AI, the app can deliver exactly what the user is looking for.
This technology is particularly useful in eCommerce and social applications. For instance, Instagram’s dynamic explore page customizes itself according to user preferences every moment. Apple Music also delivers personalized listening experiences with the help of AI.
Content Generation
Generative AI is one of the most popular types of AI used by people. Applications like ChatGPT and Midjourney have brought AI to the forefront. You can take your customer experience to a whole new level by integrating generative AI. Here are some use cases of generative AI:
Text Generation: If you have a note-taking or messaging app, you can use generative AI to help users create text. You can also help users summarize their notes, change their tone, correct grammar, and more.
Image Generation: This feature is especially useful for social applications. Users can create images based on a text prompt and post them. They can also enhance images with AI. This includes upscaling, object removal, changing style, and more.
Music Generation: Based on a prompt, users can generate unique music. This is useful for social media applications to avoid copyright claims.
Automation
AI can save so much tedious work and trouble by automating a multitude of tasks. Your mobile app will be able to complete a variety of tasks without the user manually prompting it.
For instance, an in-app assistant can tweak the app according to user preferences and real-time scenarios. AI algorithms can create tailored experiences based on user behavior patterns. Here are some scenarios how:
Task Automation: AI can automate routine tasks such as scheduling, reminders, and notifications based on user preferences and past behavior.
Smart Replies: Almost all messaging apps are using this feature. AI can be used to provide quick suggestions based on the context of the conversation.
Data Analysis: AI can analyze large volumes of data and provide reports and actionable insights.
Predictive Maintenance: For service-oriented apps, AI can predict when maintenance is needed on a product or service and schedule it automatically.
Predictive Analysis
As mentioned earlier, AI can analyze large volumes of data and create predictions based on that. It can track user behavior patterns and predict what they will do next. This helps businesses make informed decisions.
Predictive analysis can be integrated into financial management apps to track users’ spending habits and generate personalized advice.
Along with users, predictive analysis benefits businesses as well. You can understand where your users’ interests lie and what they would want next. For instance, a predictive AI in eCommerce apps can analyze shopping trends and tell you which products to stock up on.
Advanced Chatbots
Chatbots are excellent tools for providing instant customer support and enhancing customer experience. With AI and Natural Language Processing (NLP), you can make your chatbot intelligent and human-like.
By using analytical and generative AI, a chatbot can understand user queries and provide a personalized solution. It also makes chatting with a chatbot more fun as users don’t like pre-recorded responses.
NLP can help the chatbot understand human sentiments and intent. It bridges the discrepancies between users’ words and actual intent.
An AI-powered chatbot saves you the hassle of having to maintain a large support team. The bot can handle most user queries and FAQs, allowing your human team to handle major problems at hand.
Develop Your AI App
AI is the secret ingredient to making your app smarter. While it’s not a secret anymore, how you integrate it makes all the difference. WDI has the industry-best best AI experts and mobile app developers who can build a robust AI-powered application for your business.
If you want to integrate any of the above-mentioned use cases or anything else, we can help you out. Whether you want to develop an AI app from scratch or integrate AI into your existing app, we can deploy a custom team according to your requirements.
Being a top mobile app development company, we have developed several successful AI applications. For instance, our app Simplitend uses AI to monitor a senior’s health. Combined with GPS functionality, the app helps seniors return home when they get lost and also alerts the caregiver.
Schedule a meeting with WDI’s AI experts and business consultants today!
