Today mobile-apps and smartphones have become an indispensable part of our daily tech-driven experiences, as it provides effortless access to the digital service and content. It is estimated that smartphone usage and penetration trends will continue to nurture over the next five years. With the device set to secure its position as the main point of access for digital services.
Moreover, this growth will sustain with the inventions of a huge variety of seemingly invisible innovations. Artificial Intelligence (AI) technology being one of them, which should reinforce user experience and significantly improve functionality.
A research shows that by 2023, the AI technology in smartphone and mobile app development is expected to become the benchmark in the industry. Thereby, being advantageous in many aspects, including personalized content, user data analysis, better recommendations, higher quality photos, and more realistic augmented reality.
To harness the power of AI, here are 5 simple ways businesses can use AI for mobile app development.
- Provide Solutions Based on Automated Reasoning
AI’s reasoning algorithm when combined with mobile apps help businesses offer effective solutions based on an automated analysis of past preferences and related data. AI’s logical reasoning feature can help companies determine future trends and provide targeted solutions to resolve any existing or future issues.
For example, logistics companies have included AI’s logical reasoning mechanism as a core feature during the mobile app development stage. In doing so, apps such as Uber and Lyft are able to recommend the most favorable routes to help customers reach their destination faster. Similarly, these apps use AI’s machine learning capability to recommend the most frequently used destinations to users.
- Offer Better Customer Support Using Virtual Assistants
One of the main interactions that businesses generally have with their customers is responding to inquiries. Customers inquire about a wide range of things, from a specific product being sold by a company to the availability of services in specific locations to the hours of operation.
By using AI’s voice-powered technology or chatbots to serve as virtual assistants and customer support agents, businesses can now offer real-time online interactions via their mobile apps.
This, in turn, helps boost customers’ overall sentiment with regard to your brand, while also allowing businesses to increase productivity levels while saving time and human resources for other high-value-add tasks.
- Understand Usage Trends Through Pattern-Detection
In a world ridden by data privacy and confidentiality concerns, AI’s pattern-detection mechanism helps businesses understand users’ behavior and habits. Thus flagging any changes noted in usage patterns to ensure safe and secure app interactions for users.
This use case is particularly relevant for detecting fraud and cyber crimes in relation to online payment and banking apps. Similarly, AI’s machine learning technology allows companies to collect highly valuable data about user preferences.
These including buying habits and search history, to ensure a smooth and seamless interaction with customers. As such, by powering mobile apps with AI technology, brands can provide content that is relevant to a particular user and more likely to drive higher engagement levels.
- Offer Customized Experiences by Leveraging Machine Learning
AI is best known for its machine learning capability. It allows businesses to make targeted decisions and suggestions that are allocated on the basis of vast amounts of user data. These decisions have been effective. For example, if you watch a particular program on the Netflix mobile app, the video streaming service uses that data to interpret which other programs align most closely with your choice, accordingly recommending these shows for your viewing.
For businesses, AI’s ability to identify usage patterns is very crucial and offers them a huge scope to their customers. Brands are more likely to enjoy higher brand recall and recognition rates as well as increased loyalty levels among users. This is due to the fact that they are offering such personalized services and experiences to customers on their mobile apps,
- Determine User Interactions Using Predictive Analysis Technology
AI’s predictive analysis complements the technology’s machine learning capabilities to predict user needs. Also, determines relevant content that will drive better engagement levels.
For example, a mobile app that helps customers fix doctor’s appointments, helps to send out accurate and timely reminders to users to fix their follow-up visit to the doctor. Similarly, a drug delivery app can use the same AI technology to alert users that it’s time to refill their prescription dose. This kind of predictive analysis-driven content helps fuel user interactions and drive conversation rates.
To sum up, while artificial intelligence has gained popularity for quite some time now but businesses have somehow failed to utilize the many benefits which AI offers. By integrating AI technology during mobile app development, businesses can be competitive.
After all, with an AI-powered mobile app, brands provide better customer experiences and engagement. Further, increasing levels of customer satisfaction and loyalty.
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