This template provides a comprehensive system for managing fleet operations, centralized around `Vehicles`, `Users`, `Maintenance`, and `Fuel Logs`. It connects every fuel receipt and repair invoice to specific vehicles and drivers, ensuring you always know the total cost of ownership for every asset. Unlike static files, this database actively works for you—using AI to look up vehicle specs and assess the urgency of reported issues automatically.
Scale your operations without the chaos of broken formulas or disconnected files. Softr Databases use a relational structure where a single vehicle record connects natively to unlimited maintenance logs and fuel entries. This ensures data integrity—drivers can't enter text in date fields—and allows for powerful rollups to calculate total maintenance costs instantly without navigating complex pivot tables.
This template goes beyond storage by utilizing Database AI agents to automate administrative work. The AI actively searches the web to fill in engine specs for your inventory and analyzes maintenance descriptions to tag urgency levels (Low, Medium, Critical) automatically. Combined with attachment support for fuel receipts and damage photos, this system provides a level of depth and automation that spreadsheets simply cannot match.
Manage fleet staff profiles, roles, licenses, and assigned vehicle records
Track vehicle assets using AI to fetch engine specs and fuel tank data
Log repairs with AI urgency assessments and suggested mechanical actions
Monitor fuel consumption and spending per vehicle with driver receipts
This template is designed for operations teams that need to move beyond manual tracking:
1. Customize the database
Add specific fields to the `Vehicles` table for insurance policy numbers, registration expiry dates, or lease terms. You can also modify the `Status` options to match your specific operational workflow (e.g., adding "Awaiting Parts").
2. Import your existing data
Stop manually copying rows. Use the CSV import feature to bulk upload your current vehicle list and driver details directly into the database, instantly creating a structured inventory.
3. Build an app on top
Turn this database into a mobile-friendly app using the interface builder. You can give drivers a portal to upload fuel receipts and report issues from their phones, automatically linking records to their profile. Use users and permissions to ensure drivers only see their assigned vehicles while admins view the entire fleet dashboard.
A fleet management database is a structured system that tracks the lifecycle of vehicles, including acquisition, maintenance, fuel consumption, and driver assignments. It consolidates scattered data into connected tables, giving you a clear view of fleet health and operating costs.
No-code databases allow you to launch a professional-grade fleet system immediately without hiring developers. You gain the power of relational data—linking cars to drivers and costs—while maintaining full autonomy to adjust fields and workflows as your fleet grows.
In this template, Database AI agents automate data entry by searching the web for vehicle specifications using just the make and model. AI also analyzes maintenance descriptions to automatically classify the urgency of repairs, helping you prioritize critical fixes without manual triage.
Yes, you can build a secure driver portal or fleet dashboard on top of this database using Softr's interface builder. This allows drivers to log fuel and report accidents directly from their devices, while managers access analytics and approval workflows.
Yes, this template is free to use. Softr's free plan includes database functionality, making it easy to start organizing your fleet immediately. As your operation scales, higher-tier plans offer increased record limits.
Spreadsheets often struggle with connected data, making it difficult to link a fuel receipt to a specific car and driver without breaking formulas or duplicating rows. This database enforces data types (like images for receipts), manages relationships natively, and handles large volumes of history without becoming slow or difficult to navigate.