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Research shows that American adults spend 88% of their mobile time on apps. Mobile apps have, as a result, become an essential medium for businesses to improve customer outreach. However, with increasing competition, organizations are pushing their teams for unique app functionality. This approach has introduced the mobile app development industry to newer technologies and techniques. Artificial Intelligence (AI) is, undoubtedly, one of the most preferred choices by organizations worldwide.

In the past few years, AI has brought dramatic changes to industries around the world. From autonomous vehicles to humanoids, the technology never ceases to impress. Businesses are eager to include this intelligent technology for efficiency and rapid growth. Between 2015 and 2019, there was a whopping 270% increase in the number of enterprises adopting AI technology.


Whether it is an existing mobile app or in its development process, adopting AI will improve app performance and act as one of its main USPs. This blog explores AI's top features and how integrating them into mobile apps can help organizations serve customers better. 

So, let's get started!

How does AI boost Mobile App Development? 

Before we understand how AI functions with apps, let's take a quick overview of this technology- 

Artificial intelligence is an element of computer science that is similar to human intelligence. The machines learn from activities carried out by humans and use them to carry out similar tasks without any involvement from humans. Just as babies understand language, social etiquette, and more from fellow human beings, these machines gather information about a job from a large amount of data available to them. This section of AI is called Machine Learning (ML). It is widely used in fintech, healthcare, marketing, and many more industries for smooth and efficient functioning. Naturally, the technology is also a top choice in mobile app development.

Youtube video - https://www.youtube.com/watch?v=ukzFI9rgwfU 

Basics of Machine Learning

So, how are different features of ML used in mobile applications? 

#1 - Leveraging Voice and Visual Search

Gone are the days when we used search engines on our PCs and phones to find information on anything. Visual searches have taken it several notches higher. A user scans an image or text and gets all the related information. Google Lens and Pinterest Lens use visual search to provide their customers with the ease of quick searches. 

Similarly, with Amazon's Echo and Alexa and Apple's Siri, voice search has gained significant popularity. With Natural Language Processing (NLP) - an AI technology that can understand human speech and pick up the keywords to find matching results on the internet or databases. With this technology, machines learn from the users' searches and accordingly show them updated products that suit their needs. 

Integrating these search features in the mobile app helps the customers get more accurate and faster search results. More importantly, AI can be programmed to understand the user intent to show similar results anytime the customer looks it up again.

#2 - Personalized Recommendations

Once the user intent is established, this information can show ads and recommendations based on the users' searches, i.e., personalized results. This method immensely helps increase customer conversion rates as they will see what they want to see. For example, if a customer searches for instrumental jazz on a music streaming app, ML will then show results similar to this search that may have been used by other users. It is a surefire way to ensure customer satisfaction.

Spotify uses ML and user data and external resources to help artists and performers understand what their audience is looking for from their works. Similarly, Netflix uses this technology to enable a recommendation algorithm for its users and produces shows and movies based on user preferences.

On the other hand, Uber uses NLP to enable one-click chat for drivers to communicate with their customers. For instance, if a customer books a cab and needs to guide the driver to the location, they are provided with the chat option. But understanding how risky it can be to drive and chat, the system shows specific auto-generated responses that can be entered by the drivers. This function is achieved without any distractions, and the customer still receives updates.

#3- Better Customer Service with Chatbots

A chatbot is simply a machine that interacts with humans through chat and voice. This technology uses enormous amounts of data to answer queries and complaints by humans. Utilizing this feature can fuel your customer service and allow you to channelize your agents and AI assistants. For instance, your chatbot can answer customers' FAQs without any human involvement, and agents can answer privileged customers or ones that require immediate attention. This way, you can attend to more customers with limited agents. 

From e-commerce to healthcare to retail, every mobile app can make the most of this technology. Moreover, the bots are multilingual and thus, increase your service radius. Bebot by Bespoke is a perfect example of how a chatbot can help businesses. Designed for the hospitality industry, it can help answer customer queries 24/7, book restaurants, and receive reviews from the customers.

#4 - Enhanced App Security

With increasing numbers of smartphone users, the risk of cyber fraud has also increased. Integrating facial recognition in your app can take care of that part. A branch of AI, this technology can detect a similarity between two faces even with noticeable facial changes like beard or eyewear. Adding this feature will assure users that data security is of the utmost importance to you, ensuring customer loyalty. 

Banking and trading apps can significantly benefit from integrating this technology. Healthcare apps have also leveraged it for doctors to identify symptoms like inflammation and bruises that do not necessarily require a clinic visit. Facial recognition technology has also proved helpful to ensure that kids are protected from accessing dangerous information on the internet. 

Wrapping it up 

The most important aspect of using AI in mobile app development is a clear picture of user behavior. The accumulated data will allow marketing and sales personnel to draw accurate strategies for the customers. Moreover, by introducing unique features to the app, you can get a natural edge over your competitors and always stay a step ahead. 

If you have questions or ideas about mobile app development, feel free to get in touch with us. PromptBytes is a leading app development company in Atlanta. Our expert team of developers ensures best in class services for our customers. Talk to us to know more about us!

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