Operations
Forklift operators / shift β Count only the operators whose primary role is horizontal pallet transport, not those assigned to putaway, staging, or loading. Including non-automatable roles will overstate your labor savings. A typical mid-size distribution center running 500β1,000 pallets per day operates with 4β8 transport operators per shift.
Shifts / day β AGV economics improve significantly in multi-shift operations. A 2-shift configuration is the common break-even threshold; single-shift deployments rarely achieve a payback under 5 years unless labor rates are exceptionally high.
Working days / year β 254 days (the default) reflects a standard MondayβFriday operation with holidays. Extend to 280β310 for 6-day operations, or 350+ for near-continuous facilities. Higher utilization directly compresses payback.
Pallets / day β Use your average daily throughput, not your peak. Peak throughput is used for system design, but average throughput drives the savings calculation. If your operation has significant seasonal swings, consider running the model at both average and peak to understand the range.
Labor
Avg fully-burdened rate β This should include base wages, benefits, payroll taxes, workers' compensation, and an allocation for turnover and training costs. A defensible fully-burdened rate for a warehouse operator in most North American markets currently falls between $65,000β$95,000 USD per year. Using base wage alone will understate your savings by 25β40%.
Labor reduction % β This is not headcount elimination β it is the percentage of transport labor hours that the AGV system replaces. A well-designed system in a standard pallet-in / pallet-out environment typically achieves 55β75% labor reduction. Reductions above 80% should be validated carefully; they require highly standardized load types, minimal exception handling, and a mature WMS integration.
Residual FTE override β Every AGV deployment retains some human operators for exception handling, manual zones, and system oversight. A fleet of 8β15 AGVs typically requires 2β4 residual FTEs. This input prevents the model from projecting a zero-labor state, which is never realistic.
Wage inflation / yr β 3.0% is a reasonable long-run assumption for North American warehouse labor. In tight labor markets or union environments, 3.5β4.5% may be more appropriate. This input compounds over your evaluation period and meaningfully affects total savings in years 3β5.
Equipment & Hardware
AGV unit cost β List pricing for a standard autonomous counterbalanced pallet truck or unit-load AGV currently ranges from $150,000β$280,000 USD depending on payload, navigation technology, and vendor. AMR solutions for lighter payloads can come in lower. Use your integrator's budgetary quote if you have one; use the midpoint of the range ($200,000β$240,000) for early-stage feasibility.
AGV-to-fork ratio β This is how many AGVs you need per forklift operator replaced, accounting for the fact that AGVs are slower, require charging time, and cannot handle every task. A ratio of 1.2β1.5Γ is realistic for well-optimized, high-utilization routes. Ratios above 2.0Γ typically indicate route complexity, long travel distances, or significant idle time β and should prompt a layout review before proceeding.
Charger ratio (AGVs : charger) β In a continuous multi-shift operation, plan for one charger per 2β3 AGVs. Opportunity charging architectures may allow a higher ratio, but this needs to be confirmed with the OEM based on your duty cycle and shift structure.
Annual AGV maintenance % β Vendor-contracted maintenance programs typically run 7β10% of unit cost per year. Budget toward the higher end for older fleets or high-cycle applications. This cost is non-discretionary; excluding it from the model is a common mistake in first-pass analyses.
Project Cost Factors
WES software % β Warehouse Execution System software, which manages task dispatching and traffic, typically runs 12β20% of hardware cost for a standalone AGV deployment. If you are integrating with an existing WMS, budget for additional interface development on top of this.
Commissioning % β Commissioning β system testing, operator training, and go-live support β typically runs 15β22% of hardware cost. Larger fleets and more complex traffic environments trend toward the upper end. Underestimating commissioning is one of the most common causes of budget overruns in automation projects.
Integration % β ERP, WMS, and infrastructure integration costs typically add 8β15% on top of hardware. If your WMS is legacy or heavily customized, treat this as a risk factor and add contingency accordingly.
Contingency % β A 15β20% contingency is appropriate for early feasibility-stage estimates. If you are working from a detailed scope and vendor quotes, 10β12% is defensible. Never present an automation business case to a capital committee without contingency β it signals engineering maturity, not padding.
Floor prep β AGVs require flat, clean, well-marked concrete. Laser-guided and natural-feature navigation systems are more tolerant than wire-guided predecessors, but floor flatness (FF/FL values) and aisle marking still matter. Budget $3β$10/sq ft for the affected floor area; a 15% footprint assumption is reasonable for a standard selective racking environment.
Financial Assumptions
Discount rate (WACC) β Use your organization's weighted average cost of capital, or a hurdle rate between 7β12% for most industrial capital projects. A higher discount rate compresses NPV and extends effective payback β if your organization uses a 12%+ hurdle rate, AGV projects will need a correspondingly stronger labor savings case to clear the bar.
Evaluation period β 5 years is the standard evaluation horizon for warehouse automation in most capital planning frameworks. Extending to 7β10 years improves NPV and IRR optics but introduces more uncertainty in labor rate and throughput assumptions. Use 5 years for the base case; run 7β10 years as an upside scenario.