AMR, AGV & Intralogistics Automation calculator
Intralogistics Automation Payback Calculator Calculator
Intralogistics automation can combine AMRs, AGVs, conveyors, AS/RS, goods-to-person stations, software, and facility changes. This calculator provides a common payback view for comparing automation project scopes before deeper TCO analysis.
What this calculator does
- Estimate payback for an intralogistics automation project from total investment, annual operating savings, and annual support cost.
- a plant, warehouse, or finance team needs a high-level payback estimate for an automation project
- Shows payback period and five-year net value for the entered intralogistics automation scope.
Formula used
- Net annual automation savings = annual operating savings - annual software, service, and maintenance cost
- Intralogistics automation payback period = total automation investment รท net annual automation savings
Inputs explained
- Total intralogistics automation investment: undefined
- Annual operating savings: undefined
- Annual software, service, and maintenance cost: undefined
How to use the result
- Use it for capital requests, concept comparison, phase planning, and screening AMR, AGV, conveyor, or goods-to-person alternatives.
- This estimate excludes detailed cash flow timing, tax, depreciation, ramp-up, facility disruption, residual value, and working-capital changes.
Common questions
- What should be included in total investment? Include equipment, software, controls, integration, installation, facility changes, safety work, training, project management, and contingency.
- What savings should be included? Include recurring labor, overtime, damage, expediting, space, throughput, and service-level benefits that the project can reasonably capture.
- What does net annual savings mean? It is annual operating savings after subtracting recurring software, service, and maintenance cost.
- How can I use this result? Use it to compare automation concepts, decide whether a project merits detailed simulation, and identify which assumptions drive payback.
Last reviewed 2026-05-12.