This template gives property managers and operations teams a structured way to track repairs, manage technician assignments, and monitor property assets.
It connects four dedicated tables: Users, Locations, Assets, and Requests. Linking a work order directly to its specific unit and asset eliminates manual lookups and keeps maintenance history consolidated.
Built-in AI fields automatically classify ticket priority based on issue descriptions and generate concise work summaries from resolution notes.
Google Sheets makes real-time collaboration easy, but it lacks the structure required to run a dependable maintenance workflow. Anyone with edit access can accidentally overwrite a unit number, misplace a repair status, or view sensitive tenant contact info across unprotected rows.
In a structured setup, every column enforces data integrity: dates stay dates, phone numbers stay valid, and categories remain consistent across every entry.
Tables link together natively, so a repair request directly connects to a specific appliance in the Assets table without fragile VLOOKUP formulas that break after row reorders. This is exactly what Softr Databases are designed for.
(Note: Softr can also connect to an existing Google Sheet, but a dedicated database gives you true relational integrity.)
Track every work order from submission to completion with defined statuses like `In Progress` or `Waiting on Parts` while calculating repair costs across properties automatically.
Native Database AI agents auto-triage incoming requests by severity and summarize technical resolution notes, freeing your team from manual data entry.
Manage tenants, technicians, and admins with roles and contact details
Track properties, apartment units, and common areas with open requests
Monitor equipment and appliances with purchase history and repair costs
Process work orders with AI priority classification and automated summaries
This database is built for property and operations teams needing structured repair tracking:
Customize this database by adding custom fields like vendor contact lookups, warranty expiration dates, or urgent safety tags to match your operational standards.
Import your existing work orders, tenant lists, and equipment inventories in seconds using CSV upload or sync data automatically via API.
When ready, you can build an app on top of this database in seconds using natural language prompts. Set up specific users and permissions so tenants submit tickets through a dedicated portal while technicians only see their assigned work orders.
A maintenance requests database is a structured system used to log, track, and resolve facility or property repair tickets. It connects work orders with specific locations, assets, technicians, and tenants to keep all maintenance operations organized in one central place.
A no-code database provides relational structure, typed fields, and automated rollups without needing custom software development. It allows non-technical team leads to set up production-ready maintenance tracking in minutes and maintain it with complete autonomy.
The AI Database co-builder helps you modify tables, create custom filters, and write rollup formulas with simple prompts. Built-in Database AI agents run inside table columns to automatically classify ticket priority from descriptions and generate executive summaries when jobs are marked complete.
Yes. You can use Softr's AI app generator to turn this database into a complete portal with custom interfaces and workflows. You can configure granular permissions so tenants submit tickets via mobile forms while maintenance staff manage their active tasks on a private dashboard.
Yes, this template is completely free to copy and use within your Softr workspace. The free plan includes full database functionality with unlimited collaborators, and higher tiers are available if you need larger record limits.
While Google Sheets works well for basic lists, it cannot safely restrict row visibility per tenant or prevent broken formulas when rows shift. This database provides native table relations between assets and requests, enforces data types, and lets you add an interface layer on top.
Build and launch your first app in under 30 minutes.