Works from CSV or workbook exports produced from SAP, IBM Maximo, Oracle ERP, Hexagon EAM, Infor, and other ERP, EAM, or CMMS systems. No direct integration or write-back is required — Review data requirements →
Assumption-Based Planning Model

MRO Duplicate Inventory Exposure and Planning Estimator

This is an assumption-based planning estimator, not an audit, benchmark result, committed return, or savings claim. Model directional capital exposure, carrying-cost drag, procurement premium, downtime risk, and payback scenarios, then replace assumptions with PartsCleanse AI uploaded-data evidence and owner review before action.

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Assumption-basedPlanning model
DownloadableScenario summary
Evidence-ledExposure composition
FinanceMind AI exposure bridge connecting duplicate capital, carrying-cost assumptions, emergency premium, and board-ready review outputs.
FinanceMind AI converts operational anomalies into CFO-readable exposure, assumption, and action-priority evidence.
Leadership value context · PartsCleanse AI

This calculator is a directional planning model. It uses buyer-entered assumptions such as catalog size, duplicate-rate hypothesis, average item value, carrying-cost rate, and emergency-procurement context. Customer-specific exposure requires uploaded catalog, inventory, procurement, and finance data plus owner review.

Methodology and assumptions

MRO duplicate inventory value scenario model

AI2COE publishes planning ranges as assumptions, not promised-savings claims. Diagnostic reports replace these assumptions with uploaded-data evidence, confidence tiers, review status, and report-owner metadata.

Value planning modelEvidence type
2026-09-01Last reviewed
No ERP write-backGovernance boundary
Reference pointSource page
Planning model boundary

Separate directional assumptions from uploaded-data evidence.

Planning tools illustrate scenarios; diagnostic conclusions require source data, evidence classification, and owner review.

Review Evidence Standards
Assumptions

Inputs and rates remain visible and editable rather than presented as observed facts.

 Estimate

Directional outputs are estimates until supported by approved operational evidence.

 Actual data

A diagnostic can replace assumptions with mapped export data and source context.

 Owner validation

Finance and operational owners review interpretation before a decision.

Buyer answer paths

Estimator questions that keep planning outputs evidence-safe.

These answer paths clarify assumption-led planning, evidence standards, source-system boundaries, and the diagnostic step required before a value signal becomes operational evidence.

Planning estimate

How should duplicate-inventory exposure estimates be interpreted?

Treat estimator outputs as assumption-led planning signals. They need source records, owner review, confidence boundaries, and sensitivity checks before becoming business-case evidence. Public defaults are not customer-specific findings or assured financial outcomes.

Methodology and assumptionsPlanning EstimatorEvidence Standards
Evidence

What evidence should executives ask for before industrial AI investment?

Executives should ask for source records, assumptions, exclusions, confidence tier, owner review, limitation notes, and the action boundary. Public methodology, sample reports, and planning models should not be confused with uploaded-data diagnostic findings.

Evidence standardsEvidence StandardsSample Reports
Evaluation

How should buyers compare AI2COE with MDM, EAM, ERP, BI, and consulting alternatives?

Compare the decision boundary: whether the option produces source-linked diagnostic evidence, confidence tiers, owner actions, and no-write-back governance, or whether it primarily manages systems, services, reports, or remediation programs.

Buyer evaluationComparison HubBuyer Evaluation Guide
Material master

Why does material master readiness matter before SAP, Maximo, or AI programs?

Material master quality affects catalog search, duplicate families, inventory trust, procurement visibility, maintenance planning, and ERP migration readiness. AI2COE keeps duplicate candidates, weak descriptions, UOM issues, and manufacturer ambiguity as reviewable signals until owners confirm action.

Material Master ReadinessSAP Material Master CleanupMaximo Item Master Cleansing
Source records

Which source records should teams prepare before AI diagnostics?

Prepare material masters, inventory balances, purchase orders, asset registers, BOMs, work orders, finance valuation context, readiness records, and governance review history. Each source object needs field meaning and owner context.

Operational data readinessData TemplatesSample Reports
Source boundary

Can AI2COE evaluate ERP and EAM data without integration?

Yes. Industrial IQ starts with exported CSV or workbook evidence from systems such as ERP, EAM, CMMS, inventory, procurement, asset, finance, and work-order sources. The diagnostic path is read-only and does not write back to source systems.

No ERP write-backRequired FieldsData Retention
Exposure composition

Enter the operating reality, not just the catalog size.

Finance wants payback. Procurement wants leakage. Operations wants downtime context. CIOs want a governed data-quality path. This model gives all four perspectives from one controlled estimate.

Display currency
USD — US Dollar

Selected automatically from country. Logged-in users can override currency from Profile.

Executive output
Assumption caveat before outputs

Read this before using the ROI figures.

Calculator values are planning estimates until replaced by uploaded-data diagnostic evidence. Treat every figure below as an assumption-bound scenario, not an approved savings, ROI, benchmark, or audit result.

InputBuyer-entered assumptions such as SKU count, duplicate-rate hypothesis, cost, spend, and event frequency.
OutputDirectional planning signals for internal scoping, not customer-specific findings.
Evidence gateUploaded source data, field mapping, confidence tiers, and owner review are required before business action.
$4.3MCapital exposure signal
$1.1M-$2.3MScenario recoverability range
$1.0MAnnual value signal estimate
$0.9MEstimated EBITDA scenario
0.3 moPayback scenario estimate
40.9xPlanning multiple estimate
Illustrative highIllustrative exposure band
Capital exposure assumption$4.3M
Carrying cost assumption$765K
Obsolescence$170K
Procurement premium assumption$92K
Downtime / expedite$100K
This is a planning model. PartsCleanse AI replaces assumptions with actual duplicate-family evidence, confidence tiers, and report artifacts.
Assumptions and sensitivity

Interpret the estimator as a sensitivity model before treating any value as evidence.

Outputs move when duplicate-rate, item-value, carrying-cost, emergency-procurement, and event-cost assumptions move. Use the conservative, base, and aggressive cases to decide whether a diagnostic is worth reviewing; use uploaded-data evidence before budgeting remediation.

Low case

Conservative assumption set

Lower duplicate-rate and value assumptions. Useful when source context is incomplete or the catalog has not been owner-reviewed.

Base case

Current entered assumptions

Uses the values entered above. This is a planning view, not a benchmark result or customer-specific finding.

High case

Stress-test assumption set

Shows directional sensitivity if exposure drivers are materially higher. Requires uploaded-data evidence and owner review before action.

Scenario model

Conservative, base-case, and aggressive value cases.

$2.8MConservative exposure case
$4.3MBase exposure case
$5.7MAggressive exposure case
Executive interpretation

Use the model differently by role.

CFOCapital exposure, recoverable working capital, annual carrying-cost leakage, ROI multiple, and payback period.
ProcurementEmergency-buy premium, duplicate purchase behavior, supplier fragmentation, and consolidation opportunity.
CIO / DataERP cleanup readiness, master-data governance, confidence tiers, and safe review workflow before system changes.
Downloadable scenario summary

Send a branded executive planning summary.

The email sends a branded planning summary and records delivery metadata for governed follow-up. It does not store source catalog rows or turn planning assumptions into diagnostic evidence.

Immediate ROI email is transactional. Follow-up emails are sent only with explicit opt-in.
From estimate to evidence

The calculator gives you a direction. The diagnostic gives you reviewable evidence.

Value planning modelPlanning-level estimate based on buyer-entered assumptions -- useful for internal conversations before uploaded-data evidence
PartsCleanse DiagnosticDuplicate-family findings from your catalog, confidence-tiered, with capital-at-risk estimates and five executive report artifacts

The diagnostic takes a source export or sample dataset through a governed review path. No ERP integration is required for the first diagnostic. Findings remain reviewable before committing to remediation or system action.

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Ask the AI2COE Copilot

Walk me through the ROI model

Methodology, assumptions, industry benchmarks — the Copilot explains any part of this model and connects it to a live diagnostic.

Executive review lens

Use this page to decide the next evidence step.

Industrial IQ pages are designed to move enterprise buyers from operating pain to source-backed diagnostic evidence, not to force an immediate platform commitment.

Audience

Finance, operations, procurement, maintenance, reliability, ERP/data, security, and executive sponsors.

Evidence to prepare

Relevant ERP, EAM, CMMS, inventory, procurement, asset, work-order, or readiness exports where available.

Output

A diagnostic route, sample proof format, report evidence, confidence tier, owner review path, or commercial next step.

Trust boundary

Read-only diagnostics, no ERP write-back, source-file purge after report generation, and human review before action.

Explore the 8 diagnostic enginesView sample reportsReview no ERP write-backRun a Snapshot