This template gives you a reliable, ready-to-use structure to track maintenance requests, assign technicians, and monitor parts effortlessly. Say goodbye to scattered data and broken spreadsheets.
It works by connecting six relational tables to keep your data perfectly aligned. Work orders link directly to specific users, physical locations, facility assets, and the exact inventory consumed.
Managing facility repair and maintenance in spreadsheets usually results in scattered requests, broken formulas, and lost track of critical inventory.
Instead of typing asset IDs by hand, a relational database lets you link a maintenance ticket straight to a specific asset and its location in one click.
Stock levels update cleanly when parts are linked to jobs, without relying on fragile VLOOKUPs. This is exactly what Softr Databases are designed for.
Every detail, from technician assignments to step-by-step completion checklists, stays organized and scales without breaking as your company grows.
Assign incoming repair requests to specific team members and track hours spent against expected duration metrics.
Build distinct workflows by linking detailed task checklists to their parent work order to ensure standard operating procedures are met.
Monitor inventory availability and reorder thresholds clearly so you never run out of essential supplies.
Manage technicians and staff roles with assignment logs and team details
Oversee maintenance tasks with priority status, timelines and asset links
Organize physical site data including building zones and related assets
Track equipment condition, maintenance cycles and physical site placement
Monitor stock levels of spare parts and supplies with reorder thresholds
Detail granular step-by-step tasks required to complete parent work orders
This foundation is built specifically for operational teams that need to keep facilities running smoothly without fighting software.
Customize your fields
Easily adapt the priority levels, add custom HVAC asset types, or adjust team roles in seconds. Because this is a native structure, changes apply instantly without breaking your records.
Import your existing operations
Upload your current asset catalog or historical Google Sheets data via CSV. You can start dispatching new jobs against your existing equipment immediately.
Build a full maintenance app
When your team needs easier access, you can build an app directly on top of this data. You can create a self-serve portal for everyday employees to submit and track facility requests.
By leveraging users and permissions, you can ensure that technicians only see the specific repair jobs assigned to them. Starting with a perfectly connected database makes launching your custom internal tool effortless.
A work order management database is a structured digital system used to track maintenance requests, repairs, and facility tasks. It organizes everything intelligently, linking technician assignments directly to specific locations, assets, and consumed inventory.
No-code databases give you a production-ready tracking system immediately without needing technical developers. They fix the compounding errors of spreadsheets while remaining entirely customizable so you can build out a workflow that mirrors your exact daily operations.
You can utilize an AI Database co-builder to safely draft formulas or configure new tracking filters. Additionally, Database AI agents can be configured to automatically categorize incoming requests by urgency, summarize detailed malfunction reports, or fetch technical specs.
Absolutely, using the Softr interface builder, you can securely connect this database to a custom front-end portal. It allows you to define distinct roles, meaning average staff can simply submit tickets while dedicated maintenance crews have access to update job statuses.
Yes, pulling this database into your workspace is completely free. Dedicated databases are included on Softr's free plan, while higher-tier subscriptions offer larger record limits to support scaling facility teams and wider enterprise rollouts.
Google Sheets lacks structural enforcement, meaning someone can easily delete a row or type a date into a text column. Databases fix this by establishing true relational links between your work orders, physical rooms, and expensive assets, eliminating fragile manual formulas.