How does AI Increase user.pdf

7 Benefits of Intelligent Apps to Increase User Engagement 2023
With the overwhelm of digital content, there has been an increased
use of artificial intelligence (AI) and machine learning (ML) to make
user experiences more personal, seamless, and relevant. It has
become adept at solving user needs by studying a combination of
user behavior, historical data, preferences, and feedback. The use of
artificial intelligence has become so ubiquitous that it has become
the forefront of how we interact with technology today. E-commerce,
media and entertainment, news outlets, and social media are among
industries that are reshaping digital consumption by using
intelligent apps to deliver tailored experiences to customers.
In this article, we explore how intelligent apps have made a
profound impact on customer engagement and why it benefits both
companies and users in an increasingly AI-driven landscape.
What are intelligent apps?

Intelligent apps (or AI-powered apps) are software applications that
leverage artificial intelligence (AI) and machine learning (ML)
technologies to offer advanced functionalities and intelligent
capabilities. By analyzing user data, learning from user interactions,
and adapting to their behavior, these apps aim to provide
personalized experiences on a mass scale — by tailored content,
proactive assistance, or predictive insights. It uses techniques such
as natural language processing, data analysis, and computer vision
to deliver context-specific responses. From virtual assistants and
chatbots to recommendation systems and automated workflows,
intelligent apps are transforming the way users interact with
technology and opening up new possibilities for personalized,
efficient, and intelligent experiences.
How intelligence apps increase user engagement in
2023
1. Personalised user experience
AI makes extensive use of user data — including search history, user
demographics, user location, preferences, and purchase history to
provide tailored solutions for the user. Companies with a diverse
target audience can leverage this kind of data to understand a
multitude of user patterns with ease and create product streams that
align with various segments of their customer base. This ability to
provide a personalized user experience also means stronger
customer relationships, more leads, and customer loyalty.

The use of AI in this type of curation is commonly seen in streaming
platforms, digital media outlets, search engines, and social media
platforms, all of which make content recommendations based on
user’s viewing history and ratings. Intelligent apps are also used in
e-commerce platforms, food delivery services, ride services, and
more.
In a global context, this kind of user data can help multinational
companies like Netflix, Amazon, and Uber create a hyper-local
presence in different regions of the world and cater to the unique
needs of thousands of users at once.
2. Predictive analytics
As intelligent apps continue to take in more data about users, they
continue to refine and improve their models of analysis. This means,
over time, they are capable of using their insights of historical data
to predict user needs, behavior, and inclinations. By continuously
learning and adapting to different use cases, it can generate more
personalized recommendations, provide tailored notifications, and
can provide proactive assistance. In a sense, it picks up on human
behavior faster, which leads to users feeling more satisfied and
connected when an intelligent app correctly anticipates their needs.
In a landscape where speedy and efficient service is key to user
satisfaction, integrating intelligent apps that predict user needs
ensures overall customer satisfaction and higher customer loyalty.
3. Detailed user insights

Intelligent apps also use behavioural analysis and sentiment analysis
to analyze user preferences, going far beyond a purely quantitative
approach. They look at user interactions, engagement patterns, as
well as cues of emotions and sentiment in feedback. This helps them
gauge user intentions and motivations, allowing them to deliver
targeted recommendations, content, and advertisement that
resonate with individual users.
Through natural language processing, they can also understand user
responses toward specific products, services, or brand experiences.
This enables them to respond to user feedback promptly, identify
areas for improvement, and modify responses to meet user
expectations.
4. Cross-Platform Functionality
A major benefit of intelligent apps is their ability to maintain a
consistent and integrated user experience across multiple channels
and devices. They seamlessly transition between mobile apps, web
browsers, and smart devices, allowing their users to access their
information wherever they are. This kind of cross-platform
functionality increases accessibility and convenience, allows users to
interact with the app through their preferred channels, and
safeguards their content and services.
For instance, an e-commerce app like Amazon provides a seamless
shopping experience across desktop, mobile, and voice-enabled
devices like Amazon Echo. Users can easily browse, purchase, and

track their orders through various touchpoints, contributing to a
cohesive and engaging user experience.
5. Context-aware and responsive
Intelligent apps are designed to understand user context and
provide relevant and timely information. Through advanced
technologies like natural language processing and machine learning,
these apps can interpret user queries and adapt their responses
accordingly. They consider factors such as location, time, and user
preferences to offer contextually relevant content,
recommendations, or actions in real time.
For instance, a virtual assistant like Siri or Google Assistant can
provide instantaneous weather updates or suggest nearby
restaurants based on the user’s location. This context awareness
enables intelligent apps to deliver targeted experiences that are
prompt, enhancing user engagement and satisfaction.
6. Smart keywords
Intelligent apps employ sophisticated search capabilities and input
indirect keywords or natural language (commonly used words rather
than targeted keywords) to find the information they need. They use
semantic analysis and machine learning data to understand a user’s
intent and generate contextually apt results. This includes synonyms
and words/phrases that refer to the search term. Intelligent apps
enhance user engagement by enabling them to effortlessly discover
the content they seek, even if they are unsure about what exactly

they are looking for. They also aid users in clarifying their search
intent and helping them narrow down what they are looking for.
For example, a travel app like Airbnb allows users to search for
unique accommodations by describing specific features or
preferences, such as a “cozy cabin near the beach.” Intelligent apps
present them with a comprehensive list of choices that suit their
unique combination of requirements, making the research process
much more efficient and seamless. By studying the keywords and
delivering relevant search results, these apps improve user
engagement and satisfaction.
7. Accessibility of information
Intelligent apps prioritize the accessibility of information, ensuring
users can easily find and retrieve the content they need. Through
intelligent categorization, tagging, and content organization, these
apps optimize the user experience by presenting information in a
structured and intuitive manner.
News aggregation sites like Flipboard and Google News, for
instance, curate articles based on a user’s interest, commonly
browsed topics, location, urgency of news, etc. It helps users curate
the kind of news and publications they want to follow. They also
prioritize visual accessibility — news is presented in an easy-to-
navigate format. Users can quickly browse headlines or summaries,
then and more about the stories they’re interested in.

By making information readily accessible, intelligent apps help users
reduce search time, enabling efficient navigation, and facilitating
quick decision-making.
The future of intelligent apps — for companies and
their users
Intelligent apps are set to redefine our relationship with digital
technology, with significant advancements in natural language
processing, augmented reality, IoT integration, and data analytics.
With AI playing a massive role in creating personalized and
immersive user experiences, consumers can engage with apps more
proactively.
The use of intelligent apps also helps companies build customer
relationships with more efficiency. They provide valuable insights
into user behavior, preferences, and trends, allowing them to make
data-driven decisions and develop targeted marketing strategies.
Intelligent apps also enable companies to streamline processes,
improve operational efficiency, and optimize resource allocation,
leading to cost savings and increased productivity.
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