iHRMS Case Studies for SMEs
Explore how Indian SMEs across manufacturing, pharma, packaging and logistics implemented iHRMS to speed up payroll, strengthen compliance, and boost workforce productivity. Each case outlines the problem, solution, and measurable outcomes.
Manufacturing (Multi‑Shift, Overtime Control)
Challenge
Fragmented shift rosters, manual OT calculations, and inconsistent late/early rules led to payroll delays and disputes.
iHRMS Solution
Attendance engine with OT slabs, geo‑fenced face attendance, and maker‑checker for adjustments. Auto‑sync to payroll.
Outcomes
- Payroll closure T+1
- Admin time ↓ 65%
- OT leakages ↓ 22%
- Disputes ↓ 50%+
Pharma (Compliance & Audit Readiness)
Challenge
Frequent PF/ESI/PT/TDS updates and manual returns. Missing audit trails increased risk.
iHRMS Solution
Auto‑updates for statutory, validation packs, versioned audit logs, and Power BI compliance dashboards.
Outcomes
- Compliance accuracy 99%+
- Filing time ↓ 70%
- Zero penalties YTD
Packaging (Attendance → Payroll Integrity)
Challenge
Paper timesheets, back‑dated edits, and mismatched wages vs. actual presence.
iHRMS Solution
Face recognition with spoof checks, permissioned regularization, and payroll locks with variance alerts.
Outcomes
- Error rate ↓ 80%
- Wage leakage ↓ 18%
- Supervisor time saved 40 hrs/mo
Logistics (Distributed Sites & Mobile Workforce)
Challenge
Field check‑ins via WhatsApp; no real‑time visibility into presence and SLAs.
iHRMS Solution
Mobile app with geo‑fence, route‑aware attendance, and SLA dashboards for shift start adherence.
Outcomes
- On‑time starts ↑ 25%
- Unplanned OT ↓ 15%
- Client SLAs met 98%+
Before → After Snapshots
Payroll
Before: CSV merges, manual checks, 4‑5 day closure
After: Validations + locks, T+1 closure
Attendance
Before: Paper sheets & back‑dated edits
After: Geo‑fenced face attendance + audit logs
Compliance
Before: Manual returns, version confusion
After: Auto‑updates, maker‑checker, dashboards
Decisions
Before: Gut feel & spreadsheets
After: Power BI metrics & alerts
“With iHRMS we moved from firefighting at month‑end to a predictable T+1 payroll. Supervisors spend more time on throughput, not timesheets.”
Implementation Pattern that Works
Stage 1: Attendance + Leave + Payroll validations
Stage 2: Performance (OKRs), skills, training
Stage 3: Advanced analytics, statutory BI, and maker‑checker
Metrics to Track Post‑Go‑Live
- Payroll closure time (target: T+1)
- Error/variance rate (target: < 0.5%)
- Late/early incidents per 100 employees
- OT % vs output (first‑time‑right)
- Compliance filing time and penalties
Source: iHRMS Case Studies for SMEs (August 2025).