How to build Scalable AI Applications with Cross-Platform Frameworks?

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Mobile applications offer businesses excellent opportunities to interact with customers and enjoy uninterrupted business. The customers continuously use the apps, whether they need to connect with the business or learn more about their launches/products.
Businesses need to leverage the current trends and leading technologies to enhance application usability and experience. Artificial Intelligence is one such technology that is being used by the majority of businesses in more than one way.

Source:- MobileAppDaily

Leading companies such as Netflix and Amazon have incorporated AI in their applications to enhance the personalization. It is an excellent way to improve the overall decision-making of a business. 

The market revenue for this leading technology will reach $ 126 billion by 2025 (Tractica).

Its exceptional benefits and huge revenue generation opportunity make it a gold mine for mobile app developers. You should opt for a cross-platform mobile application to leverage the opportunities and market size. In this guide, we will look at the process of delivering a scalable AI mobile app and the benefits of AI in your business apps.

6-Step Process to Launch Scalable Cross Platform AI Apps

As a cross platform app development company, We have curated a six-step process to launch high-performing and scalable AI applications that can guarantee maximum acquisitions for your business. 

#1 Identify the Problem

The first thing to consider when building an AI-based mobile app is the problem. What do you aim to solve with your AI application? Will it help in improving business insights? Would it help the business retain customers? Does the AI app help them improve the workflow, automate processes and thus increase productivity?

These are questions you should ask before diving into producing the AI application. Once you have the problem and the solution, you will know the following things:

• The users/audience for your app
• The competition
• The gaps that exist in the market
•  The ways users use the current applications,
• and What they want from the app you are planning to develop

This would help you validate and plan the app idea to enhance the experiences.

#2 Design the Application

This step is pretty common with both AI and non-AI applications. You should design the app to meet the usage requirements posed by your user. The key points to consider when designing the app include

• Keep it usable and accessible.
• Make navigation as usable and friendly as possible.
• Incorporate a low learning curve so that the users don’t get frustrated.
• Do not add too many elements in a single screen.
• Use the experience design that your UX researchers have determined to build your mobile application. 

Once you have all the elements properly arranged and the design ready, you can move to the actual development process. 

#3 Define the AI Algorithm

It is important to create an algorithm to help add intelligence to the application. This is a huge step in the process, so you should take a sprint-based method to deliver the algorithm. 

• The first step in this part would be identifying how AI can add value to your application. Determine what would be the input and outcome of the algorithm.
• Once you know how the AI will help, you should start working on the part of the problem. You need to know all the problems the intelligent system will tackle. This will help select the data sets that can help the system study the patterns and produce the outcomes. 
• Once you have selected the patterns, problems and outcomes, you should determine the values you want to give to these outcomes. Numbers are very important when planning the algorithm. 
• It is equally important to know what the system can offer and cannot do for you. It is important to be aware of the gaps as well.
• Create a pilot system before defining the algorithm completely. Start with the foundation and slowly build the entire system on it.
• Use the data and database management teams to help you implement deep learning or machine learning systems.
• Create repositories of the patterns and data sets to improve the data-capturing systems and workflow. 

Note: It is very important to keep the algorithm so that you can scale the app to meet new requirements

#4. Select the Tech Stack

While working on the algorithm, selecting the appropriate tech stack for your business app is very important. Make sure you understand that you are planning a multi-platform and scalable application. Your tech stack should contribute towards this development flexibly.

At the same time, you should consider accessibility to the resources while defining the tech stack. 

When choosing the programming language or framework, look for the following things:

• Consider checking their GitHub rating and reviews
• See if the framework has a repository that you can use
• Select based on the ease of use and integration
• If the framework guarantees speed and performance, you can use it
• As you will be using it to deliver AI applications, it should have resources to implement the intelligent systems

#5. Test the App

It is crucial to release an application only after thorough testing and a complete analysis of the bugs/issues. You should ensure that the application is completely bug-free and all the problems have been identified. This is typically true if you have a data-based application and haven’t conducted security tests. 

Here’s a testing checklist that we have created as cross-platform mobile app development services.

• Does the app load fast? Will it keep the users waiting?
• Can the app be used with a single hand? Is the app interface usable and accessible?
• Is the performance at par with the expectations?
• Does the interface create friction for the user?
• Can the application handle the excess load?
• Is the algorithm working perfectly?
• Have you met the security checklist requirements?

#6. Launch the App

Once you have tested the application, it is time to deploy it to the app stores. However, you should optimise the application before launching. Make sure to add the relevant keywords, include high-quality screenshots, and make it ready for the users to download.

The app launch isn’t the end of the process. You should ensure you optimise the application regularly to meet the new standards and requirements. Keep improving the application to meet the user’s usability standards. 

Let’s take an in-depth look at why you should include AI in your cross-platform mobile application. 

Benefits of Artificial intelligence in Business Apps

Check out why adding AI to your cross-platform mobile application can improve conversions and increase engagement. 

1. Increased Efficiency

With Artificial Intelligence, you can easily improve the processes and enhance the workflow. It will automate manual tasks and routine work. As a result, your team could focus on the core work. Eventually, you will notice an increase in the efficiency of your team. 

2. Reduced Errors

As machines are working towards improving the work and enhancing the systems, you will notice fewer errors in the work. The computer will function based on the algorithm set, meaning fewer mistakes or computational problems can occur. Reduced human errors can improve your business reputation drastically.

3. Improves Decision-Making

With AI in mobile apps, you get a peek into your business insights. This includes shop floor activities and other sales-related aspects. Eventually, you will notice that the insights can help you make the right decisions for the business. 

5 Must-have Features in Cross-platform Mobile App

Let’s discuss the top must-have AI features that make your cross platform app smart and experiential.

1. Recommendations

Based on your business type, you can include recommendations that help the users in multiple ways. Recommendations could be ways to use insights derived from the data. Say, you are a B2B business, and you notice an increase in the churn rate. This needs to stop immediately. The smart AI application can help identify how to reduce the churn rate and offer recommendations. 

2. Voice Assistants

For people on the move, there may be better ways to connect with your business's support or sales team. By adding voice assistants, you are allowing them to connect via voice chats. This is similar to a call; the only difference is that the chatbot will talk to the user instead of a human. This will improve app engagement significantly.

3. Personalisation

Personalising the whole app or dashboard is important to suit the user’s preferences. If you visit Netflix, you will notice that the home screen is tuned to suit your past watches and preferences. Similarly, Amazon offers a dashboard with recommendations, deals and other elements that meet your browsing history and purchases. 

4. Facial Recognition

Adding this can improve the security of your application. It will prevent fraudulent activities within the application. You will notice that the apps can be accessed easily without a passcode or pattern. It will increase the usability and engagement of the application. High-security applications should consider acting on the facial recognition requirements. 

5. Image Recognition

Sometimes all you have is an image. You base your search on this image, which can be difficult. However, with AI-powered apps, you can easily recognise the images and complete the searches. Some apps are specifically designed to improve image recognition abilities.

Cost of Developing a Multi-platform AI App

On average, the AI-powered scalable cross platform app will cost you $30000. This app cost can go up to $300000 as well based on several factors. 

Based on complexity, here are the average rates for AI-powered apps.

Basic App: It will take about three months on the lower side to develop this app. It will cost you $30000* to develop the app.

Medium-complexity App: It will take about six months to complete this app. the average cost of development is $75000*.

Highly Complex Solution: It will take a year to complete this application, and it can cost you $120000*. 

4 Factors Impacting the Cost of AI-Powered Applications

Apart from app complexity, several factors impact the budget of AI app development.

#1 Identifying the Variables Impacting the Application

As a cross-platform app development company, we have identified three variables that can impact development costs. 

• The Total Features: For every feature, you aim to add to the business application, you need to add resource hours and efforts. This will automatically increase the cost of development. Depending on the complexity of the feature, the developer will need to spend time developing the application.
• The Use Case: What is the application of the AI app? Would it be a chatbot or a productivity-enhancing system? Depending on the answer, you can determine the app complexity and effort required.
• Tech Stack: This can be pivotal in determining the app development budget. If you plan to use a single platform for iOS and Android development, it will be cheaper than native app development.

#2 The Size and Quality of the Team

If you work with fewer members, developing the app will take a long time. This can impact the cost of development. However, if the team is large, you can break down the tasks and accomplish the app in fewer days. 

You will need to pay more hourly rates if hiring senior team members. However, if your needs are met with a fresher, the hourly rates may be less. 

#3 Location of the Company

The company's location impacts the app development cost when outsourcing app development. The hourly rates are lower if they are located in places like India and China. However, in countries like the US, the hourly rates are high. Your app development cost would depend on the hourly rates of the designers and developers in the location you have chosen. 

#4 Maintenance of the Application

Since you are developing a scalable application, you might need to improve the app to meet user requirements continuously. This can take up a few resource hours. You might want to calculate that when planning the app development budget. 

Let’s Create a Scalable AI Application for your Business

Building a cross platform AI app from scratch can be cumbersome if you don’t have the perfect blueprint. It is important to define the tech stack, create the algorithm/logic for the AI and determine the features before you move ahead with the development. 

Choosing the right mobile app development company to support your vision is equally important. New York Mobile Tech is a leading AI app development company that caters to customised and innovative solutions. We position ourselves by your side in delivering the best solutions that will improve downloads and engagement. 

Connect with our team to discuss possibilities.