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 →
OEE impact calculator

Quantify how MRO catalog disorder can convert into lost OEE in Manufacturing.

Model the OEE recovery signal from false stockouts, delayed maintenance, emergency buys, and avoidable downtime. Use this as a planning estimate before replacing assumptions with PartsCleanse AI evidence.

Request Diagnostic PilotCalculate ROI
EvidenceOEE recovery requires reviewed downtime context
CFO-readyThroughput and downtime value
CSV firstDiagnostic evidence replaces assumptions
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.
Manufacturing OEE value model

Calculate the catalog contribution to lost availability.

This model translates duplicate MRO records into operating language: false stockouts, emergency buys, unplanned downtime, and production value at risk. It is a benchmark estimate, not an audit result.

Display currency
USD — US Dollar

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

Benchmark boundary: This calculator estimates the catalog-linked portion of OEE leakage. The diagnostic identifies the actual duplicate SKU families behind the risk.
Executive output
$1.2MAnnual OEE value signal
$333KProtected throughput signal
$800KAvoidable downtime signal
$29KEmergency-buy premium signal
0.3 moPayback estimate
MaterialLeadership exposure band
Throughput recovery$333K
Downtime exposure$800K
Procurement premium$29K
CFO interpretation: If the OEE signal is material, run PartsCleanse AI to replace these benchmark assumptions with duplicate-family evidence, confidence tiers, and owner-review workflow.
How to use this result

Do not treat OEE as a generic percentage. Translate it into operating evidence.

Operations leaders need to see where availability is lost. Finance needs a value signal. Procurement needs the emergency-buy pathway. CIOs need a data-quality control before the next ERP or AI initiative.

01Estimate the OEE-linked value signal here.
02Run PartsCleanse AI on the actual catalog.
03Review duplicate families before changing ERP master data.
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.

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