Build a Distribution Management App in Under Five Minutes

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.