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Managing a commercial cleaning company can be challenging, especially with outdated, disconnected systems. DirtBusters Janitorial Services—serving West Virginia for 40 years—faced these issues as they grew to 150 customers and nearly 100 employees.
Adopting WinTeam, an ERP for service contractors, helped DirtBusters consolidate operations, streamline processes, and slash payroll processing time by almost 80%.
The Hidden Costs of Disconnected Software
Previously, handling payroll with multiple programs and spreadsheets took up to five hours weekly, creating data silos and high admin costs. Legacy systems also made it hard for DirtBusters to foster client relationships and communicate transparently.
Streamline Operations With a Unified Solution
Switching to WinTeam brought all admin tasks to one platform, enhancing financial management, job costing, payroll, and scheduling. Key modules included:
- Job Costing: Clear site profitability.
- Payroll & Tax: Fast, compliant payroll.
- Quality Assurance: Better client communication.
- Work Scheduling: Efficient shift management.
Achieving Measurable Efficiency Gains
By streamlining with WinTeam, DirtBusters cut unnecessary software, saving time and money.
Cutting Payroll Processing Time
Automated tools reduced payroll from up to five hours to under one hour, freeing leaders to focus on growth.
Maximizing Profitability and Workforce Potential
Job Costing improved financial oversight. Real-time alerts on missed shifts helped tackle turnover and maintain service.
Building Proactive Client Partnerships
With Quality Assurance, DirtBusters created custom inspections and offered clients direct, transparent updates via a portal.
Transform Your Business for Scalable Growth
An integrated ERP empowered DirtBusters to save time, cut costs, and improve client partnerships—while supporting future growth. The right technology lets leaders focus on scaling, workforce engagement, and top-tier service.
Ready to boost your cleaning business? Download the case study, then reach out to discover what our integrated ERP can do for you.
A — Your Workforce
B — Theft Assumptions
C — WinTeam Controls
D — Biometrics Coverage
100 emp 3 bundles 20 bundles
2,000 emp
E — Your Time Theft Exposure
Based on your inputs, each of your — estimated offenders is stealing roughly — minutes per workday — costing you approximately — per offender each year.
F — Savings & ROI
| GPS Only | GPS + Bio | |
|---|---|---|
| Theft Eliminated (Annual) | — | — |
| Remaining Exposure | — | — |
| Reduction Rate | — | — |
| Annual Biometrics Cost | N/A — GPS included | — |
| Net Annual Benefit | — | — |
| ROI on Biometrics Cost | N/A | — |
| Payback Period | N/A | — |
| Net Savings Per Employee / Yr | — | — |
| 5-Year Net Cumulative Benefit | — | — |
Employees × Avg Hourly Wage × (Hours/Week × 52)This is the total labor cost base that time theft is measured against. Part-time hours are accounted for via the hours/week slider — adjust it to reflect your workforce's actual average schedule.
Annual Gross Payroll × Theft % (default 2.2%)The 2.2% benchmark comes from Nucleus Research, corroborated by the American Payroll Association, and represents the average percentage of gross payroll lost to time theft across industries. The slider lets you adjust this up or down based on your prospect's situation — unionized environments or heavy surveillance may be lower; high-turnover or dispersed field workforces can run 3–5%.
Employees × 19%The 19% figure is from the American Payroll Association survey in which 1-in-5 employees self-reported participating in buddy punching. This is used only to show how many employees are likely involved — it does not drive the dollar calculations. The per-offender insight box connects both stats by dividing total theft dollars across the 19% offender pool.
Est. Time Theft × GPS Reduction % (default 60%)The GPS reduction rate (40–80% slider) reflects what fraction of time theft GPS mobile time tracking eliminates. The default of 60% is a conservative mid-range estimate based on TEAM Software customer outcomes — GPS eliminates location-based fraud (wrong-site clock-ins, clocking in from home) but does not fully address identity fraud. Range: 40% for low-adoption environments, up to 80% for high-compliance deployments.
Est. Time Theft × MIN(GPS % + Bio %, 95%)Adding biometrics layers identity verification on top of location verification — designed to reduce buddy punching that GPS alone may not address. The additional biometric reduction (10–40% slider, default 35%) is additive to GPS, capped at 95% total since no system can eliminate 100% of fraud. TEAM Software has observed reductions of up to 97% in some accounts with mandatory biometric enforcement policies; individual results will vary.
Est. Time Theft × (1 − Reduction %)The estimated residual theft exposure that the selected controls may not address — useful for illustrating the gap that GPS alone leaves and the additional recovery biometrics may provide.
Theft Eliminated − Annual Biometrics CostFor GPS: estimated net benefit equals projected savings (no cost). For GPS + Bio: estimated savings minus the annual biometrics subscription. A negative result means the plan cost may exceed projected recovery — typically a signal to revisit the theft % assumption or right-size the biometrics plan. Estimates only; actual results will vary.
(Net Annual Benefit ÷ Annual Biometrics Cost) × 100Standard return-on-investment formula applied to the estimated inputs. A 200% estimated ROI would suggest the projected savings are triple the biometrics cost within 12 months — however, these are estimates and actual ROI will vary based on real-world conditions.
(Annual Biometrics Cost ÷ Theft Eliminated) × 12Estimated months until projected savings would offset the biometrics subscription cost, based on the inputs provided. Expressed in months if under a year, years if longer. Actual payback period will vary.
Net Annual Benefit × 5A simple 5-year projection assuming flat headcount, wages, and theft rates. Does not account for payroll growth, wage inflation, or contract renewals — actual 5-year benefit is typically higher. Use this as a conservative floor for executive business case conversations.
| American Payroll Association | 75% of companies affected by time theft; 19% of employees self-report buddy punching. Widely cited in payroll and workforce management research. |
| Nucleus Research | 2.2% of gross payroll lost to time theft on average across surveyed organizations. This figure underpins the default theft exposure calculation. |
| TEAM Software / WorkWave | GPS reduction ranges (55–65% typical) and biometrics reduction (97% maximum observed) derived from TEAM customer implementations. Slider defaults represent conservative mid-range outcomes. |
| Robert Half | Supporting labor market and wage data used in workforce cost modeling. |
Sources: American Payroll Association, Nucleus Research (2.2% benchmark), Robert Half, TEAM Software customer data. Annual hours = avg hrs/week × 52 weeks. GPS included at no additional cost. Estimated ROI = Estimated Net Annual Benefit ÷ Annual Biometrics Cost. All results are estimates only.
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