Workforce Management System
Replace self-reported attendance with location-verified check-in and build the performance data your appraisals need.
The problem
A managed farmland operation running 200 field workers with two HR staff has no independent way to verify attendance, no task completion records, and no performance data when appraisal season arrives. The paper register is countersigned by supervisors but there is no location verification and no automated cross-check. Payroll is calculated on data that everyone knows is partially inaccurate. Appraisals are conducted on supervisor memory.
How it works
Replace paper register with mobile check-in
Workers check in through a simple mobile app that verifies their GPS location and records attendance with a timestamp.
Supervisor sees real-time attendance
Supervisors see live attendance across their teams and receive automatic alerts for workers who have not checked in within the expected window.
Assign and track tasks
Supervisors assign daily or weekly tasks through the system and workers record task completion, building a cumulative performance dataset.
Generate verified payroll data
At month end, payroll is calculated automatically from verified attendance data with discrepancies and exceptions flagged for review before any payment is processed.
What changes
Verified attendance data
Location-verified mobile check-in replaces self-reported registers, eliminating the attendance discrepancies that produce payroll errors in large field operations.
Payroll in one day
Automated payroll calculation from verified attendance reduces payroll processing from three to four days to under one working day.
Appraisal data by default
Task assignment and completion tracking throughout the year produces a complete performance dataset for annual appraisals without any additional data collection effort.
The Attendance Problem at Scale
A managed farmland operation with 200 field workers has a Rs 3 to 4 crore monthly payroll calculated on attendance data that no one has independently verified. Workers sign the register. Supervisors countersign. HR compiles the totals. The system works on trust at 50 workers and breaks on probability at 200. At this scale, even a three to five percent discrepancy between recorded and actual attendance represents Rs 9,000 to Rs 20,000 in monthly payroll error.
The appraisal problem is equally consequential. Year-end performance reviews at most agribusiness operations are conducted on subjective supervisor recall because no task completion data was collected during the year. Workers who performed consistently get the same review as workers who were absent 30 percent of the time if the supervisor did not document it. The system rewards presence in the supervisor memory, not actual performance.
What the System Does
The Workforce Management System replaces the paper register with location-verified mobile check-in. Workers use a simple mobile interface to check in at the start of the day from a GPS-verified location. Supervisors see real-time attendance across their teams. Absent workers trigger automatic alerts. Payroll is calculated from verified attendance data at the end of the month with exceptions flagged for review before any payment is processed.
Task assignment and completion tracking closes the appraisal gap. Supervisors assign daily tasks through the system. Workers record completion. The system builds a full-year dataset of task assignments, completion rates, and attendance by worker. Appraisal season becomes a data review rather than a memory exercise.
Before and After
Before: 200 workers sign the attendance register at 7am. By payroll time, HR has a spreadsheet showing 190 workers as present for a day when field supervisors believe at least 15 were absent. The discrepancy cannot be resolved. Payroll is processed on the register data.
After: Workers check in via mobile app with location verification. The operations dashboard shows 171 of 200 workers present at 7:30am. 29 are absent. Supervisors are notified for each team member who has not checked in. Payroll at month end is generated from this verified dataset with a complete audit trail.
90-Day Outcome
Within 90 days, managed farmland operators typically see payroll data accuracy improve substantially, payroll processing time reduce as manual compilation is eliminated, and the first complete performance dataset built for annual appraisals without any additional data collection effort.
Investment
One-time build
Rs 60,000 to Rs 1,20,000
Monthly retainer
Rs 10,000 to Rs 18,000/month
Exact pricing confirmed during the audit.
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