Unleash Your Potential: Aire as Your Financial App Builder

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How Aire AI App-Builder Builds a Financial Management App in Five Minutes

In this quick guide, we’ll show you how to build a fully functional Financial Management app in under five minutes using the Aire AI app-builder. Whether you’re a software development professional, a financial services professional, or just exploring no-code solutions, Aire’s streamlined process makes it easy to build powerful finance app with great user experience and without extensive manual effort.

What are the advantages of using a financial app builder?

Building fintech app through app builders like Aire offers customization, cost-efficiency, and time-saving benefits. You can tailor the type of app to your specific financial services industry, reduce development costs significantly, and accelerate the app creation process by utilizing pre-built templates and advanced features. The quality of work is assured for your user base, with Aire acting as your AI app development company.

All fintech app development is deployed to the open source Corteza low code platform, ensuring regulatory compliance, users access, sensitive data and all valuable insights remain under your control. Custom software development has never been so easy and Corteza’s advanced functionality ensures that your specific needs for complex features and best practices can be respected.

 

Step 1: Setting Up the Prompt

The journey starts with the Aire prompt-builder. This artificial intelligence feature allows users to create a clear and concise prompt to define the app’s scope. The prompt-builder offers several input fields to specify your requirements. However, in this example, we’ll rely on Aire to automatically generate most of the components.

  • For the type of business, we selected “Enterprise.”
  • For the type of activity, we chose “Finances.”

While there are more input fields to further refine the app’s scope, we’re opting for a hands-off approach to see how well Aire can handle the task the easy way with minimal input while building an app to manage your financial data.

Step 2: Selecting Modules

Next, we added the necessary modules to our app. Aire offers different scopes for data models, such as small, medium, or large. We chose medium scope to strike a balance between complexity and depth, so often required in the fintech industry.

Aire generated several modules for us, including:

  • Financial Transactions
  • Budget Allocation
  • Vendor Contact
  • Expense Category
  • Invoice Detail
  • Payment Schedule

These modules cover essential aspects of financial information or financial records. If needed, you can manually add, delete, or refine these modules, depending on the customer experience you wish to offer or user needs you wish to fulfill. Aire also offers suggestions based on your prompt to expand your app’s functionality.

Step 3: Adding Fields

Now that the modules were set, we moved on to define the fields to facilitate data collection. We selected large scope for a comprehensive list of fields in each module. Aire as a financial app builder filled in each module with relevant fields and their types, such as text, number, dropdown, and date/time. You don’t need to write a single line of code to build financial systems data models.

For example, the Financial Transactions module included:

  • Transaction Date
  • Transaction Amount
  • Transaction Currency
  • Transaction Type
  • Payment Method

Again, you can manually adjust these fields using the human in the loop feature or let Aire automatically suggest what fits best based on your app’s purpose. Throughout the entire development lifecycle, Aire uses machine learning to adapt to the reality of financial institutions.

Step 4: Establishing Relationships

Relationships between modules allow for more sophisticated data connectivity, enabling easy record lookups and cross-module reporting. Aire takes about a minute and a half to analyze the modules and fields to determine appropriate relationships.

One-to-one and one-to-many relationships were automatically mapped, and Aire as a financial app builder provided explanations for each relationship to give users a clear understanding of how the modules interact.

Step 5: Creating Visual Displays

With the data model complete, it was time to build the app’s user interface. Aire can create:

  • Home Page
  • Dashboard Page
  • Record List Pages for each module
  • Record Pages for each module

Aire generated these UI pages in just 15 seconds, providing a polished, user-friendly interface for end-users. Each page came equipped with charts, metrics, and detailed records, reducing what would usually be days of work to mere seconds. Customer satisfaction on the subject user experience is critical in financial app development and the Corteza platform to which you app deploys has excellent advanced features and integration tools to support most custom financial applications – without the need for a team of engineers.

Step 6: Previewing and Deploying the App

To visualize the app in action, we used Aire’s Preview App feature, which deployed the app in Corteza, an open source low-code platform for building and managing business management applications and the leader amongst open source salesforce competitors. This preview phase took about three minutes, and the app appeared fully functional with:

  • Interactive record lists and pages for all modules
  • Dashboard with visual metrics and charts
  • Additional UI elements like a home page

Developers can further drive client satisfaction and refine their app in Corteza by adding elements such as calendars, maps, or progress bars, and by building advanced workflows or integrating third-party services for all manner of activities from payment processing to financial reporting and data analytics.

Final Deployment

After making sure everything was in place, we returned to Aire’s Builder interface, which allows further customization. Satisfied with the outcome, the app was deployed with a single click, marking the end of the process.

Summary

In under five minutes, we successfully built and deployed a Financial Management app using Aire. By leveraging the AI-driven app-builder, we bypassed the traditionally tedious and time-consuming steps of manual app development. Aire’s intuitive interface, combined with the powerful integration capabilities of Corteza, makes it a go-to solution for anyone looking to quickly develop enterprise-grade applications.

If you’re ready to streamline your global software development or use Corteza for digital transformation of your legacy systems, give Aire a try and experience the power of an AI-based financial app builder firsthand. Meeting the high demand for software development services in the financial sector just got easier.

Build a Loan Management App in Under Five Minutes

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See How Aire AI App-Builder Builds a Loan Management App in Under Five Minutes

Creating a custom application for managing loans typically involves numerous hours of design, coding, and data structuring. However, with the Air AI app-builder, even complex apps can be built within minutes. In this step-by-step demonstration, we’ll show you how a Loan Management app can be created using Air AI’s app-building capabilities, taking less than five minutes from start to finish.

Step 1: Setting Up with the Aire Prompt-Builder

The first step involves using the Aire Prompt-Builder, a tool designed to help users generate clear and precise instructions for Air AI to follow. The Prompt-Builder provides several input fields to refine the app’s requirements. However, in this case, we’ll rely on Air AI to come up with the rest of the specifications.

For the app type, we simply enter “financial services company,” and for the primary activity, we choose “loans.” There are other optional fields available to further refine the prompt, but in this demonstration, we leave them blank to observe how well Air AI performs without additional input.

Step 2: Adding Modules

Next, we define the scope of our data model by selecting a medium scope. Air AI automatically generates modules that are essential for the Loan Management app. The following modules were created:

  • Loan Application
  • Loan Repayment
  • Collateral
  • Interest Rate
  • Loan Type
  • Credit Score

These modules cover all the critical elements of a loan management system, although users can manually add or remove modules or ask Aire for more suggestions if needed.

Step 3: Defining Fields

Moving on to the fields, we choose a large scope to include a comprehensive set of fields within each module. Aire suggests field names, types, and configurations that match the requirements of each module. For example, the “Loan Application” module contains fields such as:

  • Loan Amount
  • Loan Term
  • Interest Rate
  • Application Status
  • Approval Date

Again, the option to inspect, delete, or manually add fields is available to the user, but the default fields offered by Aire work well for our purpose.

Step 4: Establishing Relationships

Relationships are an essential part of any app with multiple modules. They enable data to be linked across modules for easier retrieval and management. In this demo, Aire took around a minute and a half to establish one-to-one and one-to-many relationships based on logical connections between fields. Impressively, Aire also explains the rationale behind each relationship it creates, ensuring that users can understand the logic behind their app’s structure.

Step 5: Building User Interface Pages

Now that the data model is complete, we need to create UI pages that users will interact with. Aire automatically generates the following pages:

  • Home Page with metrics, charts, and a record list.
  • Dashboard Page featuring relevant charts.
  • Record List Pages for each module.
  • Record Pages for each module.

This step typically takes days to manually complete, but Aire accomplished it in a mere fifteen seconds.

Step 6: Previewing the App in Corteza

With our app constructed, we preview it in Corteza, the platform where the app will be deployed. The preview feature shows us all the app components, including record lists, pages, charts, and metrics. Corteza also allows for additional customizations, such as adding a calendar, map, progress bar, and more. It even offers the flexibility to connect workflows and third-party data sources.

Finalizing and Deploying the App

After reviewing the app in Corteza, we return to the Aire Builder, which provides additional functionalities for suggesting further improvements. Satisfied with the current app, we deploy it with a single click, completing the entire process in under five minutes.

Conclusion

The Air AI app-builder significantly reduces the time and effort required to create complex applications. In this example, a fully functional Loan Management app with a structured data model, intuitive UI pages, and logical relationships was built in minutes. While manual app-building can be laborious and time-intensive, Air AI offers a streamlined, intelligent, and user-friendly solution for developers and non-developers alike.

Whether you are building a loan management system or another business-specific app, Air AI’s capabilities can save you days of work, enabling you to focus on refining and deploying your app swiftly.

Build a Human Resource Management App in Under 5 Minutes

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See How Aire AI App-Builder Builds a Human Resource Management App in Under 5 Minutes

Building a fully-functional Human Resources Management (HRM) app can often be a complex and time-consuming process. However, with the power of AI and the right tools, it can become an effortless task. In a recent demonstration, a Human Resources app was created in under five minutes using Aire, an AI-driven app builder. This article breaks down the steps involved and highlights the simplicity and efficiency of this AI-powered process.

Step 1: Setting Up the Prompt

The journey begins with the Aire Prompt-Builder. This tool guides you in creating a concise and clear prompt for Aire to build your application. The user begins by entering the type of business as “enterprise” and the activity as “Human Resources.” Although there are optional fields available to further refine the prompt, Aire’s intelligent design can function efficiently with minimal inputs.

The user selects “medium scope” for the app, indicating a balanced and comprehensive data model size, setting the stage for creating modules in the next step.

Step 2: Creating the Modules

After the initial prompt, Aire generates the modules for the HRM app. The modules represent key functionalities and areas in the app. In this case, Aire suggests the following modules:

  • Employee Record
  • Leave Request
  • Performance Review
  • Training Session
  • Job Position
  • Salary History

Aire provides the flexibility to add or delete modules manually or receive additional suggestions. The user in the demonstration chose to stick with the generated modules, confident in the AI’s choice.

Step 3: Defining the Fields

With the modules in place, the next step is defining the fields within each module. Choosing a “large scope” enables Aire to populate each module with a comprehensive set of fields, each assigned with appropriate field types like text, number, dropdown, and date/time.

For example, within the Employee Record module, the fields include:

  • Name
  • Date of Birth
  • Gender
  • Job Title
  • Department

Users can review these fields in detail, modifying or deleting them as needed. This flexibility allows for a tailored experience, accommodating specific requirements.

Step 4: Mapping the Relationships

The backbone of an app’s data model is the relationships between different modules and fields. Aire intelligently maps these relationships in just about 90 seconds, linking related fields across modules. Relationships can be one-to-one or one-to-many, and Aire explains the rationale behind each one, enhancing understanding and ensuring logical connections between data points.

Step 5: Creating the UI Pages

The app-building process doesn’t stop at the data model. Aire also creates essential UI pages for the end-user interaction. This includes a Home Page with metrics and charts, a Dashboard, Record Pages, and Record List Pages for each module. The user saves hours of manual effort as Aire generates these pages in around 15 seconds.

Step 6: Previewing the App in Corteza

To visualize the final product, the app is deployed in Corteza. The preview process takes a few minutes, but once completed, the app includes record lists, record pages, charts, metrics, and all the UI pages required. Corteza offers additional customization options like adding calendars, maps, progress bars, tabs, and workflows, allowing for further refinement and integration with third-party data sources.

Final Touches in the Aire Builder

For users seeking more in-depth control, the Aire Builder provides the same functionality as the initial Wizard, allowing further suggestions for modules, fields, and relationships. After any final adjustments, the app can be deployed with a single click, completing the entire app-building process.

Conclusion

In just under five minutes, Aire AI successfully builds a Human Resources Management app, covering all essential aspects like data models, fields, relationships, and UI pages. What traditionally takes days or weeks to accomplish manually can now be achieved in mere minutes. Aire’s combination of intelligent suggestions, flexibility, and speed demonstrates how AI can streamline complex app-building tasks, empowering users to focus on refining and enhancing their final product rather than being bogged down by technical details.

By leveraging the power of Aire AI and tools like Corteza, organizations can create powerful applications with minimal effort and maximum efficiency.

Build a Distribution Management App in Under Five Minutes

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See How Aire AI App-Builder Builds a Distribution Management App in Under Five Minutes

In today’s fast-paced world, businesses increasingly need agile solutions to manage their operations efficiently. One such tool that is revolutionizing how apps are built is Aire, an AI-driven app-builder that allows users to create fully functional applications in just minutes. In this article, we’ll explore how to create a Distribution Management app using Aire AI, as demonstrated in a recent walkthrough. Let’s dive into the process and see how Aire simplifies what used to be a time-consuming task.

Step 1: Using the Aire Prompt-Builder

The first step in the process is accessing the Aire prompt-builder, which helps guide the creation of a clear, concise prompt for the app. This interface offers several input fields, allowing users to specify various details that Aire will use to generate the application.

In the demo, the user opts for a simple approach by filling in just two fields: “Manufacturing Company” for the type of business and “distribution” for the activity type. Aire AI takes care of the rest, generating the app based on these two inputs. While there are additional fields to refine the prompt further, the user chooses not to customize them, allowing Aire to automatically suggest appropriate modules and structures for the app.

Step 2: Adding Modules

Next, the user selects a “medium scope” for the app, which instructs Aire to build a moderately-sized data model. In moments, Aire generates several essential modules for the Distribution Management app, including:

  • Distribution Center
  • Inventory Item
  • Shipment Order
  • Transport Vehicle
  • Vehicle Maintenance
  • Supplier Information

These modules form the backbone of the app’s structure. While Aire’s suggestions are spot on, users can delete or add modules manually if needed, providing flexibility for different types of businesses and workflows.

Step 3: Defining Fields

Once the modules are set, the user moves on to defining the fields for each module. Again, Aire AI takes charge, this time generating a “large scope” data set, which allows for more detailed input fields across the modules. Some of the fields created for the “Distribution Center” module include:

  • Name
  • Location
  • Contact Number
  • Email Address
  • Warehouse Capacity
  • Number of Employees

Each field is configured with appropriate data types, such as text, number, dropdown, or date/time. As with the modules, users can manually adjust or delete fields if they don’t suit their needs, but the AI-generated fields provide a comprehensive starting point.

Step 4: Establishing Relationships

Aire takes about a minute and a half to map out the relationships between the fields and modules. This step is crucial because relationships link records across different modules, allowing for easy data lookup and interaction.

In Aire, relationships can be one-to-one or one-to-many, and the AI explains the rationale behind each connection it creates. This transparency helps users understand the logic behind the app’s data flow, ensuring that the relationships make sense for their business processes.

Step 5: Creating the User Interface

With the data model complete, it’s time to build the user interface (UI) pages for the app. Aire generates several types of pages, including:

  • Home page with metrics and charts
  • Dashboard page with key visualizations
  • Record list pages for each module
  • Record detail pages for each module

Aire creates all of these pages in a matter of seconds, saving days of manual labor. The resulting UI allows end-users to interact with the app through visually appealing dashboards, easy-to-navigate lists, and detailed record pages.

Step 6: Previewing the App in Corteza

After the app is built, the next step is to preview it in Corteza, an open-source platform where the app can be deployed. This process takes only about three minutes. Once the app is deployed, users can interact with all the generated pages—record lists, record pages, dashboards, and more.

Corteza also offers additional customization options, such as adding calendars, maps, progress bars, and other visual elements to the app’s UI. It also allows users to set up workflows and connect the app to third-party data sources, enhancing the app’s capabilities even further.

Step 7: Final Adjustments and Deployment

Finally, users can return to the Aire Builder to make any additional tweaks to the app. The Builder offers the same functionality as the prompt-driven Wizard but allows for more hands-on customization. Users can have Aire suggest more modules, fields, and relationships if needed.

Once the user is satisfied with the app, deploying it is as simple as clicking a button. In the demo, the entire process—from prompt to final app—takes less than five minutes.

Conclusion

Aire AI is transforming the way businesses approach app development. What once took days or even weeks to build can now be completed in just minutes, thanks to the power of AI. By guiding users through the process of creating a data model, establishing relationships, and building a user-friendly interface, Aire streamlines the entire process from start to finish. Whether you’re a small business or a large enterprise, Aire offers a fast, flexible, and intuitive solution to app development.

With Aire AI, anyone can build powerful apps quickly, freeing up valuable time to focus on running their business.

Building a Call Log Tracking App in Under Five Minutes

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See How Aire AI App-Builder Builds a Call Log Tracking App in Under Five Minutes

Welcome to the world of rapid app development with Aire! In this guide, we’ll explore how to build a Call Log Tracking app in under five minutes using the Air AI app-builder. The process, which usually takes days when done manually, can now be completed effortlessly with Aire’s intuitive AI-driven interface.

Step 1: Setting Up the Prompt

The first step in Aire is setting up the prompt using the Aire prompt-builder. This tool allows you to specify the type of business and the type of activity for your app. In our example, we’re focusing on a customer service department and the goal of call log tracking. The prompt-builder offers several optional fields, but for this walkthrough, we’re keeping it simple and letting Aire do most of the heavy lifting.

Step 2: Adding Modules

Once the prompt is set, we move on to adding modules. Selecting a medium scope ensures a comprehensive data model for the app. Aire generates modules based on the type of activity specified in the prompt, automatically creating several essential modules, including:

  • Call Log
  • Customer Account
  • Agent
  • Call Priority
  • Call Queue
  • Call Feedback

These modules can be customized further, allowing you to delete, add, or modify them based on your specific needs. However, in this case, the automatically generated modules fit the requirements perfectly.

Step 3: Defining Fields

Next comes the field definition. By choosing a large scope, Aire generates various fields for each module with different data types such as text, number, dropdown, and date/time. For the Call Log module, Aire created fields like:

  • Agent Name
  • Call Duration
  • Call Type
  • Call Start Time
  • Call End Time
  • Call Status

You can review and refine these fields, delete unnecessary ones, or add your own to tailor the app precisely to your requirements.

Step 4: Establishing Relationships

In any app, relationships between data points are crucial for seamless interaction. Aire takes around a minute and a half to establish the relationships between the modules and their fields. The AI automatically creates one-to-one and one-to-many connections as needed, explaining the rationale for each relationship it forms. This ensures that related records can be accessed effortlessly across modules.

Step 5: Creating User Interface Pages

With the core data model complete, the next task is creating the user interface pages. Aire swiftly generates various UI pages, including:

  • A home page displaying key metrics and charts.
  • A dashboard page with additional charts.
  • Record list pages for each module to display all records.
  • Record pages to view and manage individual records.

This step, which often takes days when done manually, is completed by Aire in about fifteen seconds!

Step 6: Previewing the App in Corteza

Once the UI is ready, it’s time to preview the app in Corteza, the platform where the app will be deployed. This process takes a few minutes, allowing time for a quick coffee break. In Corteza, you can view and interact with your app’s features, including:

  • Record lists and pages for each module.
  • Various charts and metrics.
  • Additional elements such as calendars, maps, progress bars, and more.

Step 7: Final Adjustments and Deployment

Returning to the Aire Builder, which offers all the functionality of the initial Wizard, you have the flexibility to further refine the app. You can ask Aire to suggest additional modules, fields, and relationships as needed. If you’re satisfied with the current setup, deploying the app is a single-click process. And just like that, the Call Log Tracking app is complete, all in under five minutes!

Conclusion

Using Aire’s AI-powered app-builder significantly accelerates the process of creating and deploying apps. From setting up the prompt to defining modules, fields, and relationships, Aire automates what would otherwise be a manual, time-consuming effort. The seamless integration with Corteza adds further flexibility for advanced configurations and integrations.

In just five minutes, we’ve built a fully functional Call Log Tracking app, highlighting the power of AI-driven app development. This revolutionizes how businesses approach app creation, enabling rapid deployment with minimal manual effort. Give Aire a try and see how it can transform your workflow!

Build an Order Management App in Under 5 Minutes

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See How Aire AI App-Builder Builds an Order Management App in Under 5 Minutes 

Building custom business applications can often take days or even weeks. But with the Aire AI app-builder, you can significantly reduce that time. In this article, we’ll walk through the process of creating an Order Management app for a manufacturing company in under five minutes, using Aire’s intuitive tools.

Step 1: Setting Up the Prompt

The first step in the Aire AI process is using the Aire prompt-builder. This feature allows you to create a clear and concise prompt for the AI to understand your business needs. You have several input fields to choose from, but for this demo, we’ll keep it simple by entering only two key details:

  • Type of Business: Manufacturing Company
  • Type of Activity: Orders

You could refine the prompt further using optional fields, but we’ll let Aire take the reins from here.

Step 2: Selecting Modules

Next, we add the essential modules for our app. Aire gives you control over the scope and complexity of your data model. For this example, we select a medium scope, which generates a comprehensive set of modules tailored to the app’s needs.

The generated modules for our Order Management app include:

  • Order Item
  • Shipping Info
  • Billing Info
  • Supplier Detail
  • Product Inventory
  • Product Pricing

These modules cover most of the essential data points for managing orders in a manufacturing company. You can always adjust these by adding or removing modules as needed.

Step 3: Adding Fields

Once the modules are set, it’s time to populate them with fields. Again, you can control the complexity, so we choose a large scope to give Aire plenty of flexibility in creating fields for each module.

For example, in the Order Item module, Aire generates fields like:

  • Quantity
  • Unit Price
  • Total Price
  • Discount
  • Production Status

Each field comes with a predefined field type, such as text, number, dropdown, or date/time, all configured automatically. If necessary, you can edit, delete, or add your own fields, but for now, we’re happy with Aire’s selections.

Step 4: Creating Relationships

After defining the modules and fields, Aire builds relationships between them. These relationships are crucial because they allow the app to connect related data, such as linking an order item to its billing information or product inventory. This process only takes about a minute and a half, but it’s incredibly important for ensuring the app functions as intended.

Aire will also explain the logic behind each relationship it creates, giving you clarity on how the data model fits together.

Step 5: Generating UI Pages

Now that the data model is complete, it’s time to build the user interface (UI). Aire can automatically generate the following UI pages:

  • Home Page with metrics, charts, and record lists
  • Dashboard Page with key visualizations
  • Record List Pages for each module
  • Record Pages for each module

Creating these pages manually could take a day or two, but Aire does it all in about 15 seconds. These pages give the app a fully functional front end, allowing users to interact with the data seamlessly.

Step 6: Previewing and Deploying the App

Once the UI pages are ready, it’s time to see the app in action. We click Preview App to deploy it in Corteza, the open-source platform where Aire apps are hosted. The deployment takes a few minutes, but once it’s done, you can interact with your fully functioning app.

In Corteza, you’ll find your record lists, record pages, charts, and metrics – all automatically generated by Aire. You can further customize the UI by adding elements such as calendars, maps, progress bars, and tabs. Corteza also lets you integrate workflows and connect to third-party data sources for enhanced functionality.

Step 7: Finalizing and Deploying the App

After reviewing the app in Corteza, you can return to Aire’s Builder, which gives you additional tools to fine-tune your app. From here, you can let Aire suggest more modules, fields, and relationships if needed. Once you’re satisfied with everything, deployment is just a single click away.

And that’s it – a fully functional Order Management app built and deployed in less than five minutes. With Aire AI, what once took days or even weeks can now be done in a fraction of the time, freeing you to focus on other important tasks.

Conclusion

The Aire AI app-builder revolutionizes the way we create business applications. By automating the process of generating data models, fields, relationships, and UI pages, it eliminates much of the manual work traditionally involved in app development. Whether you’re a business owner or a developer, Aire provides a fast, efficient way to build customized apps without extensive coding. In just five minutes, you can have a fully functional app ready for use, saving you time and effort.

Build a Logistics Management App in Under 5 Minutes With Aire

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See How Aire AI App-Builder Builds a Logistics Management App in Under 5 Minutes

In today’s fast-paced business environment, efficient logistics management is essential for keeping operations running smoothly. Fortunately, the Aire AI app-builder offers an innovative way to create complex apps with ease. In this article, we’ll walk through the process of building a full-fledged Logistics Management app in under five minutes using Aire.

Step 1: Setting Up the App in Aire

Aire’s app-builder is designed for simplicity and speed. The first tool you encounter is the Aire prompt-builder, a user-friendly interface that helps you define the core specifications of your app through concise prompts. The process is highly customizable, allowing users to fine-tune details, but for this demonstration, we’ll let Aire handle most of the decision-making.

To begin, we input “manufacturing company” as the business type and “logistics” as the activity type. These basic parameters guide Aire’s AI to build the initial structure of the app. The tool also offers optional fields for deeper customization, but for now, we’ll keep it simple.

Step 2: Adding Modules

The next step is defining the modules—the building blocks of any app. Aire offers different scope options for the data model, and for this app, we choose a medium scope. Within seconds, Aire generates several essential modules for logistics management:

  • Supplier Contact
  • Production Schedule
  • Inventory Level
  • Freight Cost
  • Warehouse Location
  • Shipment Tracking

These modules cover the core functionalities of a logistics management system. Users can delete, add, or further customize these modules based on their specific needs.

Step 3: Defining Fields

Once the modules are set, it’s time to populate them with fields. Fields define the specific data points tracked within each module, such as names, dates, and numbers. To ensure a comprehensive app, we select a large scope for the field definitions. Aire automatically generates fields with appropriate data types (text, number, dropdown, date/time) and configurations.

For example, the Supplier Contact module includes fields like Supplier Name, Contact Person, Phone Number, Email, and Address. Similarly, the other modules come pre-filled with relevant fields. These can be manually adjusted, but for the sake of time, we’ll stick with Aire’s suggestions.

Step 4: Establishing Relationships

The next phase involves setting up relationships between different modules. Relationships are crucial for connecting related data across the app. For instance, you might link the Shipment Tracking module to the Warehouse Location module to see where specific shipments are headed. Aire handles this step efficiently, mapping out all the one-to-one and one-to-many relationships between fields.

In this case, it takes only a minute and a half for Aire to establish all the necessary relationships, which would typically take much longer if done manually.

Step 5: Building the User Interface (UI)

With the data model ready, it’s time to create the UI pages—the visual interface the end user will interact with. Aire can generate a home page, dashboard, record list pages, and record detail pages for each module. Typically, designing these pages manually would take several days, but Aire completes this task in around 15 seconds.

The resulting UI includes:

  • A home page featuring key metrics, charts, and a record list.
  • A dashboard that visually presents logistics data through graphs and tables.
  • Record list pages and detail pages for each module.

These UI elements are ready for immediate use, making the app functional within minutes.

Step 6: Preview and Deployment

After building the app, you can preview it in Corteza, the platform where the app is deployed. Corteza allows you to test the app’s functionality, view the record lists and pages, and check the dashboard. Additionally, Corteza provides options to further customize the UI and add advanced elements like calendars, maps, and progress bars.

Corteza is also where workflows can be added, and third-party data sources connected, making the platform ideal for further refining the app. However, for this demonstration, we return to Aire for the final deployment.

Step 7: One-Click Deployment

Back in Aire, we head to the Builder tool, which offers all the functionality of the Wizard, but with more flexibility for users who want to fine-tune their app. Once satisfied with the setup, the app can be deployed with a single click. And just like that, a fully functional Logistics Management app is complete—built and deployed in under five minutes.

Conclusion

The Aire AI app-builder revolutionizes the process of app creation by automating tasks that would traditionally take days, even weeks. With just a few simple inputs, Aire can build comprehensive apps like the Logistics Management system, complete with data models, relationships, UI pages, and more. This innovative tool allows businesses to streamline their operations without the need for extensive development resources. Whether you’re building logistics software or any other business application, Aire makes the process faster and easier than ever before.

Build a Supply Chain Management App in Under Five Minutes with Aire

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Learn How to Use Aire AI App-Builder to Build a Supply Chain Management App in Under Five Minutes

Creating a fully functional Supply Chain Management (SCM) application can be a lengthy and intricate process, often taking days or even weeks to complete. However, with the Aire AI app-builder, you can build a customized SCM app in less than five minutes. Here’s a step-by-step guide on how it’s done.

Step 1: Setting Up Your Prompt with Aire’s Prompt-Builder

The journey begins with the Aire prompt-builder. This tool is designed to help you create a precise prompt to guide Aire AI in building your app. The prompt-builder provides several input fields, allowing you to specify details such as the type of business and activity. For this demonstration, we’re keeping it simple:

  • Type of Business: Manufacturing Company
  • Type of Activity: Supply Chain

Although there are additional fields available to refine the app, such as specifying departments, workflows, or unique requirements, this example relies on Aire AI’s intelligence to fill in the gaps automatically.

Step 2: Selecting Modules for the App

Next, it’s time to add modules, which are the essential building blocks of the app’s data structure. Choosing a “medium scope” ensures a comprehensive yet manageable data model, suitable for an SCM app. Aire suggests several modules specifically tailored to supply chain management:

  • Supplier Rating
  • Product Traceability
  • Logistics Route
  • Order Fulfillment
  • Supply Chain Risk
  • Vendor Compliance

These modules provide the core features needed for managing a supply chain. Modules can be modified manually—allowing for additions or deletions as needed—but the AI-generated modules in this instance are a perfect fit.

Step 3: Defining Fields for Each Module

With modules in place, the next step involves adding fields to them. By selecting a “large scope,” Aire generates a robust set of fields for each module, complete with various field types like text, dropdowns, and date/time fields. For instance, the Supplier Rating module is populated with fields such as:

  • Rating Date
  • Quality Rating
  • Delivery Rating
  • Cost Rating

Each module receives the necessary fields to capture detailed information relevant to supply chain processes. You can always review, adjust, or manually add fields to ensure the data model meets specific requirements.

Step 4: Establishing Relationships Between Modules

Relationships form the backbone of data connectivity within the app, linking fields across modules for easy access and analysis. The AI automatically maps these relationships, which can be one-to-one or one-to-many, depending on the data requirements. For example, a relationship might link the Supplier Rating module to the Order Fulfillment module, allowing users to view supplier ratings alongside order details.

Step 5: Generating User Interface (UI) Pages

With the data model in place, it’s time to create the app’s user interface. Aire AI quickly generates key UI components:

  • Home Page: Displays metrics, charts, and a record list for an at-a-glance view of the supply chain.
  • Dashboard Page: Presents key supply chain statistics and analytics.
  • Record List Pages: Lists all records for each module.
  • Record Pages: Provides details on individual records within each module.

Aire completes this entire process in about fifteen seconds, saving hours that would typically be spent designing each page manually.

Step 6: Previewing and Deploying the App in Corteza

To see how the SCM app functions in a live environment, it’s previewed in Corteza, where users can view all pages and components, including:

  • Record lists and pages for each module
  • Charts and metrics to visualize data trends
  • Dashboard and home pages with integrated insights and navigation

Corteza provides options for further customization, allowing users to add elements like calendars, maps, progress bars, and tabs, as well as configure workflows and connect third-party data sources.

Step 7: Final Adjustments and Deployment

Back in Aire’s Builder, any last-minute adjustments to modules, fields, or relationships can be made before deployment. With everything set, the SCM app is deployed with a single click.

In less than five minutes, the SCM app is live, featuring a complete data model, UI, and customizable features tailored for efficient supply chain management.

Build an Inventory Management App in Under Five Minutes with Aire

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See How Aire AI App-Builder Builds an Inventory Management App in Under Five Minutes 

In today’s fast-paced business environment, the demand for efficient app development solutions is growing. Aire AI’s app-builder stands out as a versatile, no-code platform that can create complex applications in minutes. In this article, we’ll explore how to build an Inventory Management app with Aire AI in under five minutes, from setting up the data model to deploying the app in Corteza.

 

Getting Started: Using the Aire Prompt-Builder

The Aire AI experience begins with its intuitive prompt-builder, designed to help users create clear and detailed prompts for building an app. In this example, the builder chose “enterprise” for the business type and “inventory” for the activity, allowing Aire AI to auto-generate the initial framework.

This hands-off approach is especially helpful for beginners, but the prompt-builder offers additional fields to refine the prompt. Users can further specify aspects of the business or type of inventory management needed, allowing for tailored functionality as required.

Configuring Modules and Fields

Once the basic prompt is set, Aire AI guides users to select the modules necessary for the app. Modules serve as the backbone of the data model, grouping related data and tasks. For this Inventory Management app, essential modules such as Product Category, Supplier, Purchase Order, Supplier Contact, Shipping Method, and Maintenance Record were generated with a medium scope setting.

Each module includes fields relevant to its function. Selecting a large scope allows Aire to generate a comprehensive field list, covering all potential needs. The “Product Category” module, for instance, comes pre-loaded with fields such as Name, Description, Image, Status, and Order Number. Users can review these fields in detail, deleting unnecessary ones or adding custom fields to suit specific requirements.

Establishing Relationships Between Modules

Creating relationships between modules is one of the most time-consuming parts of app development. Relationships define how data connects across modules—for example, linking product categories to suppliers or purchase orders. Aire AI simplifies this by automatically mapping relationships based on the defined modules and fields.

Aire handles both one-to-one and one-to-many relationships, ensuring seamless connectivity across records. As a bonus, Aire explains each relationship it creates, helping users understand the rationale behind the data connections, which is invaluable for managing complex workflows.

Designing the User Interface (UI)

With the data model ready, the next step is to build the user interface, which includes pages that end users interact with. Aire AI can generate various UI pages, including record pages, record list pages, a home page, and a dashboard page. Each module receives its own record and record list page, and the home page is populated with key metrics and charts for a quick overview.

In a traditional setup, building these pages manually would take days. Aire AI, however, automates this in about fifteen seconds, delivering a polished, user-friendly interface that allows users to access and manage records, view dashboards, and navigate the app easily.

Previewing and Deploying the App in Corteza

After setting up the UI, it’s time to see the app in action. Aire AI allows users to preview their app in Corteza, a platform for deploying and managing low-code applications. In Corteza, users can view their app with all the generated pages, metrics, charts, and navigation features. Additionally, Corteza offers further customization options, allowing users to add elements like calendars, maps, progress bars, and tabs, or connect to external data sources for more comprehensive functionality.

Finalizing the App with One-Click Deployment

Once satisfied with the app’s functionality, users can deploy it directly with just one click in Aire’s builder. The app is live, featuring all modules, fields, relationships, and UI elements. All completed in under five minutes—a significant time-saving compared to traditional development.

Conclusion

Aire AI transforms app-building by automating the development process, making it accessible even to users without coding expertise. By efficiently generating modules, fields, relationships, and user interfaces, Aire AI enables businesses to create fully-functional apps, such as Inventory Management systems, in record time. For enterprises looking to streamline workflows or enhance operations, Aire AI’s app-builder is a powerful tool for rapid, no-code app development.

Build a Venture Capital Management App in Under Five Minutes with Aire

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See How Aire’s AI Web App Builder Build a Venture Capital Management App in Under Five 

Building custom software applications can be a daunting task, often requiring extensive coding and intricate design processes. However, Aire, an AI-powered app builder, is redefining this process, making it possible to create robust, enterprise-grade applications in a matter of minutes. In this guide, we’ll walk through building a Venture Capital Management app using Aire, showcasing just how effortless and efficient the app-building process can be.

Step 1: Getting Started with the Aire Prompt-Builder

The journey begins in Aire’s prompt-builder. This intuitive tool allows users to create clear, concise prompts that guide Aire in generating applications. For this example, we start by inputting the type of business we want the app to manage: a venture capital firm. Although additional prompt fields are available for more customization, Aire can generate everything based on this single input.

Step 2: Adding Modules for a Comprehensive Data Model

Next, we move on to selecting modules, where we opt for a large scope to ensure a robust, enterprise-level data model. Aire suggests essential modules tailored to the needs of venture capital management, including:

  • Investment
  • Fund
  • Portfolio Company
  • Investor
  • Investment Round
  • Sector
  • Stage

These modules form the core structure of our app. Users can manually add or delete modules as needed, but Aire’s selections align well with the requirements of a venture capital firm, so we’re ready to proceed.

Step 3: Configuring Fields Within Each Module

The next step involves populating each module with relevant fields. Again, we select a large scope to see the full range of fields Aire can generate. The fields cover various types, from text and numbers to dropdowns and dates. For example, in the Investment module, Aire generates fields such as:

  • Name
  • Type
  • Amount
  • Currency
  • Date
  • Equity Percentage

This comprehensive field selection includes all relevant data points for venture capital management, and users can modify these fields as desired.

Step 4: Defining Relationships Across Modules

Relationships between modules are crucial for ensuring seamless data access and interaction. Aire automatically maps out relationships, linking fields between related modules for streamlined record lookups. For instance, it might link an “Investor” in one module to an “Investment Round” in another. These relationships help users navigate complex data more efficiently, and Aire provides explanations for each, making the logic behind the setup transparent.

After a brief pause, Aire completes the relationships, offering a well-connected data model. If the initial relationship suggestions are limited, users can prompt Aire to add more, creating a thorough and interconnected structure.

Step 5: Creating User Interface Pages

With the data model in place, we turn to the app’s visual interface, which is crucial for usability. Aire generates various UI pages in seconds, including:

  • Home Page: Featuring key metrics and a record list
  • Dashboard: Displaying charts and data summaries
  • Record List Pages: One for each module
  • Record Pages: Detail pages for individual records

Without Aire, creating these pages would require significant time and manual work. Instead, Aire completes it in seconds, ensuring a cohesive and professional user interface.

Step 6: Previewing the App in Corteza

To see the app in action, we use the “Preview App” function, which launches our venture capital management app in Corteza, the deployment environment. Here, we can review and further customize the app, adding elements like calendars, maps, progress bars, and tabs. Corteza also enables users to integrate third-party data sources and workflows, expanding the app’s functionality.

In Corteza, all UI elements generated by Aire appear as expected, from record lists and charts to modules and dashboards. Each component is ready for immediate use or further refinement as needed.

Step 7: Finalizing and Deploying the App

Returning to Aire, we can make any last adjustments using the Builder, which provides the same functionality as the Wizard used during the setup. If further modifications are required, Aire can continue to suggest modules, fields, and relationships. Satisfied with our setup, we proceed to deploy the app with a single click, finalizing the creation of our fully functional Venture Capital Management app in under five minutes.

Conclusion

In just a few minutes, Aire enables users to create a powerful, fully customized app for managing venture capital operations. From setting up a data model to generating a complete user interface, Aire streamlines the entire process, delivering an app that would typically take days to create manually. Whether for venture capital or other industries, Aire provides an efficient, intuitive solution for building applications tailored to specific business needs.