Create Your Own GPS-Based Attendance with AI

Create Your Own GPS-Based Attendance with AI

By
Verin D'souza
November 19, 2025
|
10 Mins
Table of Contents

Attendance tracking looks simple on paper, but anyone who has managed teams on the move knows it becomes complicated very quickly. People may be working at different client sites, stores, warehouses or offices. Some teams start their day in the field. Others move around throughout the day. Traditional attendance systems don’t usually handle this well because they expect everyone to be in one fixed location or use one specific device.

GPS-based attendance solves that problem. Instead of depending on biometric kiosks or manual registers, employees simply check in and check out from their phones. The app automatically captures the time and location, which keeps the process clean and removes the need for supervisors to follow up or verify entries.

But sometimes you want more than just the exact pin on a map. You may want to make sure the person is actually close enough to the assigned site before their attendance is accepted. If someone is required to be within 500 meters of a store or project site, you can enforce that too. This is where Clappia’s flexibility becomes useful.

GPS-Based Attendance with AI

Different Ways to Build This in Clappia

You can set up a GPS-based attendance system in Clappia in multiple ways depending on how you prefer to start:

Using the AI Assistant
If you want to get started quickly, you can tell the AI chat in Clappia exactly what kind of app you want including check-in, check-out, time capture, GPS restrictions, etc. and it will generate it for you.

Building Manually in the Design App
If you want full control from the start, you can add every field yourself and configure the logic the way your process needs.

Through Clappia MCP
You can give instructions to other AI platforms like Claude to actually build a fully functional app in Clappia by connecting it with Clappia MCP.

From an Excel File
If you already maintain a list of employees or attendance records in Excel, you can import that structure and let Clappia turn it into an app.

From a Google Form
If you use Google Forms today, you can bring that setup into Clappia and extend it with GPS and automation.

After choosing your method, you can shape the attendance app in whichever way works best for your teams. Below is an example of a GPS based Attendance app in Clappia that was created through the use of AI Chat. It will give you a basic idea of what you can create, how it looks like and what else can be done.

GPS-Based Attendance with AI

GPS Based Attendance App

If you want to build a GPS based attendance tracker in Clappia, the cleanest way is to use two apps that work together:

  • an Employee Master app that stores all employee details
  • an Attendance app where employees actually check in and check out

The master app holds your employee records in one place. The attendance app pulls from it and records each day’s entries with time and location. Below is an example of how you can structure this setup and the different pieces you can add to support your process.

GPS-Based Attendance with AI

1. Employee Master App

The Employee Master app is your central list of people. Once this is in place, you do not have to type employee details again in every form. Simply use the ‘Get data from other apps’ feature and connect this app to other apps.

A basic layout usually includes fields like:

  • Employee Name (Single line text field)
  • Employee ID (Single line text field or Unique ID field)
  • Employee Email (Email Input field)
  • Employee Phone Number (Phone Number field)
  • Department (Dropdown field)
  • Designation (Dropdown field or Single Line field)
  • Manager (Single Line field)
  • Employee Image (Camera, Image & Files field)
GPS-Based Attendance with AI

You can add these one by one if you have a small team, or you can bulk-upload everything from an Excel file if you already maintain an employee sheet. This makes the app useful right away, without extra data entry.

Use the ‘Camera, image & Files block’ to capture employee images.

GPS-Based Attendance with AI

Later, if you want to track more information, you can always add fields for things like work location, employment type or shift pattern. Because this is a separate app, it can also act as a reference for other apps, not just attendance. For example, you might link it to a leave management app or a reimbursement app so they all pull from the same employee data.

GPS-Based Attendance with AI

2. The Attendance App

The Attendance app is where daily check-ins and check-outs happen. This is also where GPS is used to make sure people are marking attendance from the right place.

A simple version of this app can include:

  • Employee ID: a searchable field that identifies the employee
  • Employee Name: auto-filled from the Employee Master using Get data from other apps
  • Attendance Type: Check-In / Check-Out
  • Timestamp: automatically captured when the form is submitted
  • Current GPS Location: captured from the employee’s device and shown on a map
GPS-Based Attendance with AI

By pulling the name and other basic details from the Employee Master app, you avoid spelling mistakes. Employees only need to choose their ID or name, and the rest fills on its own.

GPS-Based Attendance with AI

For GPS based attendance, the user’s actual location is captured and you can disable the option of letting them change the location on the map. You can also set up Geofencing, so that a submission is only allowed if the user is within a certain distance from approved locations. For example, you can configure the app to accept entries only when the GPS coordinates are within 500 metres of any listed office, branch, or site. This helps when you want to be sure people are actually near the workplace and not just marking attendance from anywhere.

GPS-Based Attendance with AI

You can also add Validation checks to avoid duplicate entries. For example, if someone tries to check in twice without checking out, the app can show a message and stop the submission. This keeps your data clean and prevents confusion later when you calculate working hours.

Over time, you might add more fields such as shift type, reason for late check-in or comments for special cases. The key idea is that the daily action for the employee remains simple: open the app, choose the attendance type, and submit. All the tracking, GPS and validation work quietly in the background.

Other Fields You Can Include

Depending on your process, you can add extra fields such as:

  • Notes or remarks
  • Client or project site
  • Photo capture for site verification
  • Shift selection
  • Work category or job code

These fields stay optional but can be helpful for teams that work across multiple locations or tasks.

GPS-Based Attendance with AI

Workflows That Run In The Background

Once the basic apps are ready, workflows can help you automate what happens with this data.

Some examples of workflows you can add include:

  • Create or Edit Submission in another app
    When an attendance record is created, you can update a separate Attendance Summary app or a Payroll app using the Create Submission or Edit Submission workflow nodes. This is useful if you want to maintain monthly summaries, leave balances, or salary-related details without manual updates.
  • Alerts for missing check-outs
    If an employee has checked in but not checked out by a certain time, the workflow can send a reminder email or create a follow-up entry.
  • Notifications for late arrivals or early departures
    When a check-in happens after a cutoff time, or a check-out happens before the scheduled end of day, the workflow can mark that entry and notify a manager.
  • Offsite Attendance
    If you have employees who need to mark attendance outside the designated areas, you can add a separate option for them. For example, you can show a field like “Are you working outside your assigned location today?” or allow a different attendance type such as “Offsite Work”. When they choose this option, the app will not show the geofencing check, and let them submit normally. After the submission, you can use workflows to check that condition. For instance, you can add an If node to detect offsite submissions and send them to an approver using the Approval node if needed. This lets you keep geofencing strict for everyone else while still handling genuine exceptions in a controlled way.

Because all of this is workflow-driven, you can keep refining your rules as your attendance policy becomes clearer. You do not have to redesign the form each time. You only adjust what the workflow does when certain conditions are met.

GPS-Based Attendance with AI

Analytics and Reports

With data coming in every day, you can use the analytics section to see how attendance looks across your team.

Some useful analytics for the Attendance app include:

  • charts showing present vs absent counts over time
  • breakdowns of attendance by site or location
  • lists of people who have not marked attendance today
  • views filtered by department, team or manager
GPS-Based Attendance with AI

You can also schedule Automated Reports of the app’s submissions on a daily, weekly or monthly basis. 

GPS-Based Attendance with AI

You can also integrate with other platforms, for example, you can push attendance data into Google Sheets and share a live dashboard with HR or management. Once it is set up, the data flows on its own whenever new submissions come in.

How You Can Extend A GPS Attendance Setup Further

As you use the system, you might want deeper summaries instead of looking at every single check-in and check-out. You can create another app or section to hold calculated fields and higher-level analytics. Some useful fields include:

  • First Check-In Time (per day): The earliest check-in time for each employee on a given day.
  • Last Check-Out Time (per day): The latest check-out time for each employee on a given day.
  • Total Hours Present (per day): The difference between the first check-in and the last check-out. Helpful for payroll, overtime and compliance.
  • Count of Late Check-Ins: Number of days where the first check-in was after a cutoff time, such as 9:00 AM.
  • Count of Early Check-Outs: Number of days where the last check-out was before a cutoff time, such as 5:00 PM.
  • Overtime Hours: Total working hours that exceed a daily threshold, for example more than 8 hours per day.
  • Absence Days: Days with no check-in or check-out record for an employee.
  • Average Working Hours (per month): Monthly summary showing average daily working hours for each employee.

On top of these fields, you can build richer analytics such as:

  • per-employee monthly dashboards that show attendance, overtime, absences and punctuality
  • lists of consistently punctual employees
  • alerts that highlight unusual patterns, such as too many late check-ins or repeated early check-outs
  • department-level views that compare attendance across teams or locations

All of this can be driven from the same attendance data you are already collecting. You only decide what extra summaries you want and configure the workflows and formulas once.

How This Structure Helps You Later

Starting with a master app and an attendance app gives you a clear base that you can keep extending. If you decide to add shift planning, leave approvals or payroll calculations later, you already have reliable employee data and daily records in place.

You can connect new apps to the same Employee Master, pull attendance summaries wherever needed, and keep adding rules on top without changing how employees mark their attendance every day. The front end stays simple for the user, while the logic and analytics can grow as much as you need in the background.

How GPS-Based Attendance Works for Employees

GPS-Based Attendance with AI
GPS-Based Attendance with AI

Once the app is published, employees simply open it on their phone and select what they’re doing - checking in or checking out. The GPS location gets captured instantly, the timestamp fills in automatically and the entry goes to the submissions tab.

For people working at multiple sites, this process makes their day simpler. They don’t have to scan any QR codes or walk to a kiosk. As long as they’re in the allowed radius, they can record attendance from wherever they are. If they are outside the permitted area, the app can show a prompt explaining that they need to move closer before submitting.

Supervisors don’t have to chase attendance or verify locations manually. Everything they need is already present: who checked in, when they did it and where they were standing. If you want, you can also add additional information like notes, photos or client names, depending on your process.

GPS-Based Attendance with AI

Giving Employees Access

After your attendance app is ready, you can decide who should be able to use it by adding users to your app. Each employee gets their own login, and you can assign roles based on what they need to do.

These roles ensure that employees only access what they need.
For example, field staff may only submit attendance while managers can see the full list in the Submissions tab.

If you want to collect attendance from temporary workers or external staff, you can turn on Link Sharing. This lets people submit the attendance form without being added as workplace users. GPS validations will still apply, so location-based rules remain intact.

This setup keeps your attendance system organised and ensures that only the right people have access to the right information.

Advantages of GPS-Based Attendance in Clappia

GPS attendance becomes far more useful when it is fully customisable. You are not restricted to a fixed workflow or predefined attendance rules. You decide what the app captures, how strict the GPS radius should be and what should happen after each check-in or check-out.

You can refine the app at any point without interrupting anyone. Employees only refresh the app and the changes appear instantly. If your process becomes more detailed over time, you can add more fields, new approval steps or additional validations without starting over.

You can also use this attendance data in other areas of your workplace. Some teams connect it to daily reports, payroll preparation, visit logs or safety checks. Others push the records into Google Sheets for consolidated reporting. Since the app captures location and time automatically, you end up with accurate data that is easy to analyse.

Clappia also keeps a detailed log of workflow runs, app changes and submission histories. This is helpful for audits or internal reviews, especially when you need to trace how attendance was recorded or whether someone tried checking in from the wrong place.

Where You Can Take It From Here

You can keep this attendance app simple or expand it into something broader. Some organisations add shift-based rules, automatic break tracking or alerts when someone forgets to check out. Others turn it into a complete field-operations tool with routes, visits and task completion workflows.

Once the basic setup is in place, you can keep shaping it to match the way your team works. It becomes a foundation that you can grow over time, without coding or large changes. If you need help building a starting version, the AI assistant can do it in a few minutes and you can refine it as your needs evolve.

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