What are Intelligent Apps and its Use for Future Mobile Solutions?


The mobile app development space is undergoing a major expansion due to the growing demand for the development and provision of unique, effective mobile solutions that can drive the future of enterprises and SMBs. Among all available advanced, fascinating technologies, one specific technology that stands out most is Intelligent Apps.

What are Intelligent Applications?

These next generation of apps are an ideal amalgam of multiple high-tech technologies, like Artificial Intelligence, big data, the Internet-of-Things (IoT), and intelligent analytics. The AI-powered apps are capable of quickly adapting and behaving according to the user interests by taking advantage of deep learning, machine learning, and cognitive technologies.

Intelligent Apps: The Future of Mobile Solutions – Yes or No?

All sorts of businesses and industries across the world embed AI functions into their workflow in different ways, based on the specific functionality and application they want to achieve. AI offers substantial opportunities for the development of intelligent mobile apps that businesses have already been quick to seize upon for understanding, adapting, and discovering patterns of interactions and behaviors to gain a competitive advantage.

In addition, the inclination of investing in the broader intelligent app development services is expected to grow rapidly because several significant trends are coming together related to the new product development and global IA market. Below we have outlined and explained the distinctive characteristics of an IA that demonstrates mobility and promising growth in both B2C and B2B environments.

  • Produces Results without Keyboard Inputs

Let’s face it, typing on a touchscreen device is snail’s pace compared to gestures and speech dictation. Various studies show that speech recognition is almost 3.0x faster than inputting on a keyword, while typing could be an event of minutes. Not to mention, keying is difficult and error-prone.

The advent of intelligent mobile apps eliminates the need for performing a query or conducting a search using a virtual keyboard. A truly intelligent app makes uses of voice recognition, motions, biometrics, and gestures to operate, show the right suggestions, and provide results without keyboards. The accuracy of voice recognition depends on the workflow and can be as precise as a prudently typed message.

  • Offers Immediate Assistant

Communicating with high volumes of users constantly and maneuvering your new visitors through your onboarding process in a conversational form (throughout the day) can be very difficult and time-consuming. And if not handled correctly, you might have to say goodbye to not only the potential customers and sales to your competitors but also your ROI and brand value in the market.

AI puts intelligent apps, like Siri and Google Allo, in a state of invincibility where online businesses need to generate qualified leads and provide uninterrupted, dedicated customer support while addressing users’ queries and issues in real-time. Integrating advanced capabilities such as virtual personal assistants, chatbots, and cognitive API will enable you to develop powerful IAs that can help users perform many tasks and assist with their day-to-day activities without human interference. IA offers real-time, immediate assistant to resolve queries, search products for users, manage schedules, conduct digital payments, coordinate meetings, and enable conversational commerce on an app.

  • Assesses User Behavior, Interactions, and Choices

The intelligent apps are built along with one distinct functional use case feature that acquires and works on huge amounts of real-time and insightful information from user interactions and other relevant data references. IA unites processes with machine learning, IoT sensors, beacons, and other sensory inputs to read and store forests of datasets quickly and easily. This approach enables companies to study users’ behavior, activities, and preferences to streamline and filter highly suitable information based on their goals and make contextual predictions and better business decisions.

  • Generates Data-Driven and Accurate Analysis

More and more SMBs and enterprises have started shifting from outdated, legacy applications to intelligent app development services and analytical solutions to advance their business processes and operations. With the help and intensity of AI algorithms and in-depth, advanced analysis, they can accomplish one or more of the following tasks:

  1. Acquiring valuable data on competitors, trending products and services, and real-time industry practices;
  2. Differentiating between irrelevant and relevant information in real-time;
  3. Generating actionable analytics and decision-driven data visualizations effectively;
  4. Examining the customer’s activities and deriving insights to improve productivity and performance;
  5. Creating informative and statistical reports about user behavior, performance, and growth of the app;
  6. Understanding user behavior in the current as well as next stage and taking appropriate actions;
  7. Encouraging the user to make a purchase by predicting what they might be looking for, and;
  8. Creating and delivering a more compelling, immersive experience with predictive as well as prescriptive analytics.
  • Automates Monotonous, time-taking Tasks Quickly

The mobile app developing agencies using intelligent apps can enhance their business productivity and efficiency by automating rigorous tasks that take a longer time span to complete manually with the help of BI dashboards, analytic tools, and data mining tools. From the marketing and sales perspective, IAs can evaluate and prioritize the most potential, qualified leads, observer users’ historical data to understand their purchase behavior and recommend personalized suggestions. In addition to that, intelligent mobile apps are adaptable to new demands and trends because of its sense of fluidity and sustained learning path, providing a higher engagement rate and ROI.