Artificial intelligence has become a major
part of the digital world we live in. Over the past decade or so, it’s become
deeply ingrained in every industry from the medical field to the financial
field. Most recently, AI has become a powerhouse in the realm of mobile apps.
Companies across the board are taking notice and integrating AI into their
mobile apps in order to keep up. Oracle CEO Mark Hurd
has even made a point to predict that 100 percent of all enterprise cloud
mobile apps will be equipped with AI within the next year.
The more AI-equipped apps become the norm, the
more obvious it is that they provide major benefits to the businesses that
employ them. Businesses have had to become much more mobile-focused and now
have to shift their attention to how they can best use mobile platforms to their
advantage, especially for digital marketing efforts. AI technology not only
exponentially raises the quality and capabilities of applications, but it has
also led to a huge boost in customer satisfaction. Through the use of
AI-powered customer service technology and a more personalized experience, apps
are able to interact with customers on a much more comprehensive level than ever
before.
User personalization
In today’s mobile landscape, customers expect
a more personalized experience than they have previously been able to get. They
want their apps to be tailored to their preferences and needs. Customers want
applications to know them and be able
to differentiate between them and other users. AI technology makes that
possible and, for companies that want to keep up, has become an essential
component of mobile apps.
Restaurant and food delivery apps
Restaurant and delivery apps are a prime
example of the level of personalization that needs to be incorporated into
applications today. For example, apps for your go-to coffee shops, favorite
pizza place or other delivery services are customized to each user via AI and
its counterpart, machine learning. These apps detail order preferences,
frequent locations, allergies and even instructions for delivery based on the
individual profiles created for each customer.
Streaming applications
Likewise, streaming apps like Netflix and
YouTube have developed specialized algorithms for learning
the kinds of programs each specific viewer enjoys. Those algorithms use
predictive analytics to make suggestions and recommendations based on watch
history, individual ratings and the types of programs frequently chosen by each
user. That means no two customer queues and recommendations are the same as
another, allowing for the most tailored viewing experience possible.
Although these examples are specific to the
kinds of companies mentioned, they can be applied to any mobile app created for
any business. No matter what the industry, using AI to personalize customer
experience is essential. Additionally, because the algorithms in those apps
adjust based on learned behavior, they will continue to perform better the
longer they are used and will provide a consistently improved experience for
consumers. As a result, the businesses
that integrate AI into their apps will see major benefits, especially when it
comes to customer satisfaction.
Changing how entrepreneurs do
business
While it may seem like integrating AI is
strictly beneficial for giving customers what they want, it’s even more
valuable to the companies that utilize them. Implementing AI into mobile apps
provides the perfect channel for gathering customer data to be used to a
business’s advantage. AI technology can take massive amounts of data, sift
through it and pull out any patterns, correlations or similarities found across
the entire customer landscape.
The AI-collected data provides invaluable
customer insights about which demographics interact with a company most often,
where they interact, the amount of time and money they spend and what kinds of
prompts create the best response. A deeper understanding of what motivates and
engages customers is vital to keeping up with them and learning how a business
can continue to progress.
That information can then be used to predict
consumer behaviors and better inform sales and marketing efforts. All of those
statistics become an extremely useful dataset for advertising purposes. That
knowledge can aid in the creation of more effective marketing campaigns. From
the creative layouts to the ad placements themselves, businesses have a much
greater chance of getting their products or services in front of the most
receptive audience at the right time on a much larger scale with the data gleaned
from AI-powered mobile apps.