How We Replaced Paper Timesheets with an Automated Mobile Time Tracking System
- gabe levin
- Jun 29
- 2 min read
Most small gardening/landscaping companies don't have a technology problem—they have a paperwork problem.
Recently, we partnered with a gardening business that was spending valuable administrative time collecting employee hours, tracking job notes, documenting expenses, and manually entering information into spreadsheets.
The process looked something like this:
Employees arrive at a job site
Hours are tracked manually
Notes are written on paper or sent through text messages
Expenses are submitted separately
Management spends hours consolidating everything at the end of the week
While this process works, it creates opportunities for errors, missing information, delayed payroll, and unnecessary administrative work.
The Challenge
The business needed a solution that was:
Easy for employees to use
Low cost
Mobile friendly
GPS aware
Simple to deploy
Flexible enough to grow with the business
Many commercial field-service platforms charge hundreds or even thousands of dollars per year while providing far more functionality than a small company actually needs.
Instead of forcing the business into an expensive software subscription, we built a custom solution tailored specifically to their workflow.
The Solution
Using iPhone Shortcuts, Google Apps Script, and Google Sheets, we developed a lightweight field tracking platform that allows employees to clock in and clock out directly from their phones.
When an employee clocks in:
Date is captured automatically
Time is recorded automatically
GPS coordinates are recorded automatically
A unique job record is created
When an employee clocks out:
Time out is recorded
Work performed is documented
Expenses are captured
Dump fees or disposal notes are recorded
Information is automatically linked to the original time entry
All information is stored in real time within Google Sheets.
Multi-Employee Architecture
One of the most important requirements was supporting multiple employees without creating a separate system for each worker.
The final solution uses a single automation engine while dynamically routing each employee's information to their own timesheet tab.
This allows the company to scale from a few employees to many employees while maintaining a single codebase and a single deployment.
Benefits
Reduced Administrative Work
Instead of manually collecting and entering timesheets, information is submitted directly from the field.
Improved Accuracy
Time entries are timestamped automatically, reducing transcription errors and forgotten entries.
GPS Documentation
Job locations are captured automatically, providing additional verification and reporting capabilities.
Better Record Keeping
Work descriptions, expenses, and dump information are tied directly to the corresponding job record.
Low Cost
The system leverages existing Google Workspace infrastructure and requires no expensive field-service software subscriptions.
Future Enhancements
This project establishes a foundation for future automation initiatives, including:
Customer selection lists
Job costing reports
Payroll exports
Before-and-after photo documentation
Mileage tracking
Automated invoicing
Business intelligence dashboards
Final Thoughts
Many small businesses assume automation requires large software budgets or complex enterprise systems.
In reality, some of the highest-value automation projects come from solving a single repetitive process exceptionally well.
By combining mobile automation, cloud-based workflows, and custom business logic, we transformed a manual timesheet process into a scalable digital workflow that saves time, improves data quality, and positions the business for future growth.
If your business is spending hours every week collecting information that should already be digital, there is likely an opportunity to automate it.
At ScaleUp Automations, we specialize in identifying those opportunities and building practical solutions that deliver measurable results.

First change: Error handling for poor service locations. Used data jar for pending time log syncs