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ROI & Economic Value Added
Make the business case. Show the assumptions.
Explore what better product data could be worth. Start with a published benchmark scenario, then replace the assumptions with your own figures before making a financial decision.
All monetary inputs and results use USD. Selecting a currency does not convert amounts or apply exchange rates. Source defaults were published in GBP; unchanged numbers are illustrative assumptions in your selected currency. Replace them with your own local figures.
Simulation, not an analysis of your actual records. Inputs stay in this browser session’s page state and are not submitted to USC by this tool.
Quick value diagnostic
Published sector assumptions provide an indicative starting point. This is modeled loss and potential recovery, not ROI or economic profit. All monetary values are in USD.
Range uses 5,000 representative SKUs. Manual workload: 62,400 hours/year.
Build the detailed model with these defaults →Recoverable annual value
USD 1,547,494
Gross annual loss: USD 2,579,156
Indicative range: USD 1,114,196 – USD 1,918,893
60% recovery factor: 40% of modeled waste is treated as structurally unrecoverable. Estimates are not guarantees.
Where the loss sits
- Manual effort
- USD 1,404,000
- Duplicates & errors
- USD 58,406
- Inventory & procurement
- USD 900,000
- Revenue uplift
- USD 123,000
- Risk & compliance
- USD 93,750
Show diagnostic formulas and sector assumptions
Waste factor = (100 − quality confidence) ÷ 100. Recoverable value = total modeled loss × 60%. The indicative range uses 72%–124% of recoverable value; it is not a Monte Carlo interval.
Manual effort: round(SKU × minutes/SKU × effort × 52 ÷ 60) × hourly rate × waste factor
Duplicates & errors: round(round(SKU × duplicate %) × order value × 0.05 × 0.70 × waste) + round(errors × cost/error × 0.60 × waste)
Inventory & procurement: round(spend × visibility % × waste) + round(inventory × reduction % × waste) + round(off-contract spend × 0.15 × waste)
Revenue uplift: round(digital revenue × uplift % × waste) + round(digital revenue × return % × reduction % × waste)
Risk & compliance: round(audit costs × efficiency % × waste) + round(exposure × risk reduction % × waste)
Rounding is applied to component costs as in the published calculator. The quick diagnostic assumes 52 recurring workload cycles per year; the detailed model below uses one catalog workload and an explicit automation rate.
- minsPerSku
- 12
- fteHourlyRate
- USD 45
- duplicatePct
- 15
- avgOrderValue
- USD 450
- errorsPerYear
- 500
- costPerError
- USD 350
- annualSpend
- USD 50,000,000
- savingsFromVisibility
- 2
- inventoryValue
- USD 10,000,000
- inventoryReduction
- 5
- maverickSpend
- USD 2,000,000
- annualDigitalRevenue
- USD 10,000,000
- conversionUpliftPct
- 1.5
- returnRate
- 12
- returnReductionPct
- 8
- auditCosts
- USD 150,000
- auditEfficiencyPct
- 25
- riskExposure
- USD 500,000
- riskReductionPct
- 30
- automationPct
- 65
An estimate is the start, not the evidence.
The quick diagnostic, detailed ROI and board EVA models use different disclosed assumptions. They are alternative analytical views and must not be summed. Estimates are not guarantees or verified USC engagement outcomes.