What you can do with the Property Management Template

Property management template provides you with all the tools you need to manage your properties, whether it's vocational houses or multifamily communities. You can view analytics to reference historical data and assess financial impact, set up tasks and reminders, as well as edit the descriptions of the properties. 

This Property Management Template is useful in several scenarios:

Historical data: For every property, a property manager can easily access historical data, such as the number of properties available for rent and the number of properties leased, allowing for accurate forecasting.

Locate properties on the map: Zoom in to find all properties within an area of interest. Click on a property on the map to instantly view detailed information.

Find Properties: Easily find the property of interest by searching for item names or filtering the list by attributes such as property type, location, price range, and more.

Client communication: Engage with clients directly from the app via email or calls. Keep track of all interactions in the history tab to ensure high client satisfaction.

Edit unit information: Update, view, create, and delete both properties and individual units through an intuitive interface. Use granular permissions to restrict access for specific user groups, ensuring data security.

Schedule unit inspections: Schedule inspections for vacant units to prepare them for rent. Check contractor availability, assign tasks to contractors or vendors, set priorities, and define the scope of work.

Manage Tenants: View all of your tenants and their personal information such as email addresses and their phone numbers. View their leasing history to assess risks and get insights.

Why use a Property Management Template in Jet Admin?

Property management systems require multiple workflows to work together seamlessly. Managing related entities such as properties, units, vendors, clients, and tasks often involves switching between multiple legacy systems, wasting valuable time.

Jet Admin provides a customizable platform that allows you to tailor the Property Management Template to your exact workflows. Build multi-step, multi-view apps that centralize all relevant data for operations managers—with one-click access to everything they need.

Easy and flexible deployment: You can self-host the Order Management app in the cloud, with Jet Admin handling infrastructure and updates, or host it locally behind your VPN in your own VPC. Ensure your live app is bug-free with version control, multiple environments, and audit logs.

Combine multiple data sources: Jet Admin allows you to connect and unify data from multiple sources, including databases, external apps, and APIs, to create a 360-degree view of your property management process. No need to switch between apps or manually copy IDs—Jet Admin links all related data, ensuring seamless workflows.

Variety of UI components: Jet Admin provides 60+ ready-to-use UI components that can be linked to your data without any coding. These components also come with built-in styling functions, allowing you to easily customize the look and feel of your app.

Granular permission management: Set role-based access rules for pages, data (Create, Read, Update, Delete), and UI components (conditional visibility). You can also set up authentication for users using Jet Admin’s built-in Auth system or external providers such as Auth0, Xano Auth, and others.

Complex data drill-downs: In addition to ready-to-use UI components, Jet Admin provides granular control over data and variables, allowing you to pass dynamic parameters across components, formulas, and pages. This helps create complex user flows with dynamic context, enabling users to zoom in on relevant data instantly.

Built-in database: Jet Admin includes a built-in database (powered by PostgreSQL), which is seamlessly integrated into the platform. This enables users to quickly prototype any app, whether it’s a custom CRM or an inventory management system. Simply import a CSV or Excel file to get started, and later connect an external data source when you need to scale.

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