Artificial intelligence (AI) has been one of the most important technologies throughout the 21st century, and it continues to gain prominence today. In fact, a PwC study of 2,500 U.S. consumers found that 72% of business decision-makers see AI as offering a noticeable business advantage. This indicates that industry leaders are recognizing the value of implementing artificial intelligence into their mobile strategies.
Even better, a business does not have to build a new platform from scratch in order to enjoy the benefits of AI. Instead, you can simply add AI to an existing platform in order to reap advantages such as automating monotonous tasks and reducing human error.
Automating Tasks and Making Better Decisions
For most companies, efficiency is the name of the game, and AI plays a key role in reducing the number of man-hours spent on monotonous tasks. Companies are using AI to automate mobile tasks, allowing workers to focus on more creative, high-value work.
With AI, mobile apps can make smart decisions backed by data through a process called automated reasoning. Essentially, this means that AI algorithms allow apps to churn out suggestions and complete tasks based on extensive data.
For example, doctors may use a healthcare app to determine the best course of treatment for a patient based on their biographical information and the severity of their symptoms. The app would use AI to compare the patient with past patients who had a similar trajectory and measure the success rate of different treatment routes. Automating patient analysis helps doctors focus on more complicated issues related to treating a patient. The same idea is true for other industries; by using AI to automate some of a company’s decision-making, employees can spend more time on high-level tasks.
Reducing Human Error
Artificial intelligence makes it possible to increase the accuracy of the information that is added into apps—a major benefit in industries where even one mistake can be catastrophic. After all, to err is human, and it just takes one decimal point in the wrong place to turn an earnings report upside down.
Take the case of a real estate app. An agent who marks down his or her sales and commission numbers needs to be accurate with the calculations, as an error can cause grave issues for a company. To ensure accuracy, you could use an AI-equipped mobile app that calculates the commission percentage automatically. This reduces the chances of a real estate firm having to deal with an erroneous sales report, a headache that can cause internal strife and harm a brand’s reputation. Businesses of all fields are set to benefit from AI in their mobile apps since it allows each worker to perform their tasks with more accuracy.
Improving Personalization and User Engagement/Retention
AI can create a more personalized user experience by leveraging the user’s browsing history, past behaviors and more to optimize their app usage. Customers like to feel as if an app is catering to their unique needs, so this strategy leads to higher user engagement and retention rates.
Machine learning (ML), the cousin of AI, is also involved here. This technology consists of algorithms that learn patterns about users through the information they give out. Predictive analytics (PA) is then employed in order to predict what a user may want to do next with the app.
For instance, consider the retail industry. Machine learning and predictive analytics algorithms may consider a number of factors about a user’s shopping habits, including what items a user buys during certain times of the year, where they’re located and what search terms they use.
Knowing what products a user usually shops for then allows the app to offer personalized product recommendations. The resulting format appeals to the particular user based on the channels that led to them buying a product in the past. By personalizing the app experience, it is more likely that the user will become a returning customer.
Use Case: Affordable Healthcare With Medibookr
A successful example of adding AI to a mobile platform is Medibookr, a digital healthcare marketplace designed to reduce the cost of healthcare services. The business helps out those with bad insurance, operating under the belief that everyone deserves affordable health care.
Medibookr uses natural language processing (NLP) to understand a patient’s symptoms from what they say. The app then recommends specific healthcare professionals to help them out. In this way, it personalizes the experience for each user, considering the needs of each company’s health insurance plan and offering the best quality of care at the lowest price.
The app also automates the process of helping users find the right physician through geolocation technology, which looks at nearby doctors accepting new patients. Medibookr further optimizes the app experience by facilitating the way users go about booking appointments while also helping health providers bring in more patients.
There are many benefits of AI for businesses, from reducing human error to automating tasks to personalizing the user experience. All of these abilities add business value to your company, as your operations will become more efficient and your connection with your users will be stronger.
It’s easy to incorporate AI into your existing mobile platform with the right team of developers backing you. Here at SevenTablets, we specialize in custom mobile app development with extensive experience in artificial intelligence. We’re also well-versed in other emerging technologies, including Internet of Things, augmented reality, machine learning, predictive analytics and blockchain.
Reach out to our team today!
Lacey earned a B.A. from Baylor University. Sic'em!
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