Artificial Intelligence is not only a subject of discussion for the innovators in the science field but also a subject of expansion and exploration in the business industry, particularly for the mobile application industry. Nowadays, AI is not just limited to Apple’s Siri or Google’s Assistant, it is growing much more than that. The constant growth and improvement in machine learning allow us to add logical abilities to applications on any platform, which is proving to be the next competitive ground for businesses.
The mobile app development is continually improving, and AI is powering this evolution as more intuitive apps enter the market. AI can make complex mobile apps capable enough to engage the audience swiftly by allowing them to learn intuitively and interactively. Let’s check out different aspects the explains that how is the future of mobile application development is heating up due to the advancing of AI.
1. Omni-Channel Approach
- With the increase in the number of communication channels, the internet now holds many different touchpoints in one place. These touch points include social media, web apps, chatbots, affiliated networks, review sites, and websites.
- Nowadays, more and more businesses are adopting an omnichannel architecture to provide a consistent experience for their customers across all possible devices.
- This approach can help the users to book tickets online, manage check-in using a smartwatch and go through identification using a non-obtrusive biometric system.
- To manage all these transactions a focal point is must, and what better than mobile phones, which are proving to be an ideal choice by being at the highest point of all channels.
- Therefore, the mobile apps will no more be just another medium of communication. It will manage every channel separately by creating an omnichannel customer experience.
2. User Engagement
- When it comes to driving user engagement as well as business growth, AI has been successful for various mobile apps.
- AI helps in analyzing users response patterns and behavior for engaging them towards the app.
- Apps that are AI-based draw a lot of information of the user and analyzes the user’s data as well as their behavior to fix various issues.
- User’s analytical data like location, contacts, buying pattern etc. can truly deliver a lot of useful insights about the user.
- The insights tell us about the daily behavior of user which AI records and allows the apps to serve the user better.
3. Cognitive Intelligence
- Modern mobile apps are not here just to automate a routine task, but they can also understand logic and improve on their own capabilities.
- By using predictive insights, an app can offer smart services to the consumer based on their upcoming requirements. The combination of big data analysis and cloud applications can make it feasible.
- For example, if you want to book a ticket you choose web or mobile, sometimes even chatbots, but what about your journey? The important thing is that how can mobile play an important role to improve consumer experience throughout the journey.
- The future mobile apps will strategically use data to improve customer experience by making the mobile apps smart.
4. Recommendation Services By AI
- It is the simplest and effective application of AI in mobile apps for providing almost any solution.
- Most apps fail within a year of launch because they fail to provide relevant content to continuously engage users. Therefore, AI helps in monitoring the choices users make and the apps make recommendations that users choices.
- This methodology is a powerful source of revenue for such entertainment apps like Hotstar and Netflix.
- Any type of business that cross-sells or upsells content can utilize this type of AI.
5. Constant Improvement
- Businesses need to make sure that they are continuously improving the experience of their customers by updating the IT systems and the working processes of the app.
- The advent of cloud technology has made this a lot easier.
- Mobile apps can no longer forget a project.
- They will be continuously adapting the changes according to the preferences of the consumers.
- Real-time insights on consumer behavior help in evolving an app by using the gathered data over time.
Conclusion
By looking at the above aspects, it seems, AI is showing us that the future of mobile app development is here. AI is changing the ways mobile app developers build apps and the interaction of consumers with products. With the constant advancements of AI, it is becoming necessary to stay relevant in the market. There are firms like OpenXcell that has experts in the field of mobile app development to help you out in developing a mobile app for your business with the use of AI in it.