Build an Inventory Management App in Under Five Minutes with Aire

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.

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