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 →
Asset-Intensive Operations

Anonymized MRO Catalog Diagnostic: From Duplicate Records to Executive Evidence

An anonymized diagnostic-style case study showing how Industrial IQ turns exported MRO catalog, inventory, procurement, asset, and work-order data into source-backed executive evidence.

RepresentativeAnonymized pattern
Diagnostic-firstEvidence before remediation
Source-file purgeAfter report generation
Operating context

What the buyer is trying to decide.

An asset-intensive operator had a multi-site MRO catalog shaped by years of ERP/EAM exports, local naming conventions, supplier aliases, inconsistent UOM values, and low-movement stock. The buying committee did not need another generic cleanup opinion; it needed a defensible evidence pack showing which records deserved review before MDM, ERP migration, inventory optimization, procurement action, or AI adoption spend.

CFOCOOCIO / CTOCISOProcurementMaintenanceERP / Data Governance
Control evidence
  • Anonymized diagnostic-style case study
  • No customer logos or named-client claims
  • No ERP write-back
  • Source files purged after report generation
  • Summary and audit metadata may be retained for governance
Visual evidence map

How exported operational data becomes buyer-ready evidence.

Use this map to understand the diagnostic flow before reading the detailed posture change. It shows source context, evidence conversion, owner review, and safe action boundaries.

Source context

Files and context the diagnostic would inspect.

ERP/EAM item master
Inventory balance
Purchase history
Asset and work-order context
Step 1 Source exports Read-only uploaded files
Step 2 Map and normalize Field fit, aliases, context
Step 3 Evidence table Reason codes and confidence
Step 4 Owner review Human decision before action
Evidence signal 1 Evidence model

Findings grouped by reason code, confidence tier, value signal, and owner

Evidence signal 2 Executive output

Board-ready summary, evidence table, action queue, assumptions, and exclusions

Evidence signal 3 Governance posture

No automatic deletion, no blind merge, and human review before action

Review roles

Who reviews the evidence.

CFOCOOCIO / CTOCISOProcurement
Stage: No ERP write-back
Stage: Source files purged after report generation
Stage: Confidence-tiered evidence
Stage: Human review before action
Before / after diagnostic posture

The change AI2COE is meant to create inside the buying committee.

Before diagnostic
Catalog postureDuplicate descriptions, UOM drift, manufacturer ambiguity, and obsolete candidates reviewed manually
Decision pressureCFO, COO, CIO, procurement, and maintenance needed a single evidence view
System boundaryNo appetite for ERP write-back or uncontrolled master-data change
After diagnostic
Evidence modelFindings grouped by reason code, confidence tier, value signal, and owner
Executive outputBoard-ready summary, evidence table, action queue, assumptions, and exclusions
Governance postureNo automatic deletion, no blind merge, and human review before action
Situation

The buyer needed a fact base before committing to cleanup or transformation.

Duplicate material descriptions, inconsistent UOM values, OEM/manufacturer ambiguity, low-movement records, emergency-buy exposure, and working-capital leakage were visible symptoms. The hard question was which records, sites, suppliers, and part families should be reviewed first.

Evidence boundary: This page is an anonymized diagnostic-style case study. Metrics are sample/anonymized unless separately documented. It is not a named customer endorsement or savings guarantee.
Data used

Exports a buyer can prepare without production integration.

FileTypical fields
Material master exportMaterial ID, description, manufacturer, manufacturer part number, UOM, plant, storage location, category.
Inventory balance exportStock quantity, unit cost, total value, last movement, site, criticality, safety stock where available.
Purchase history exportSupplier, PO date, quantity, unit price, emergency-buy flag, contract ID, lead time.
Optional asset registerAsset ID, equipment hierarchy, criticality, location, equipment type, asset status.
Optional work-order historyWork order, asset, part used, failure code, priority, downtime, maintenance type.
Diagnostic workflow

From exported records to executive evidence.

uploadfield mappingsource-fit scorenormalizationduplicate detectionconfidence tieringevidence reviewexecutive reportaction tracker
Findings model

What the evidence table makes visible.

Finding typeEvidence usedConfidence signalBusiness impactOwner
Semantic duplicatesDescription, manufacturer, MPN, UOM, plant, stock valueHigh agreement across identifiers and descriptionsCleanup priority and duplicate capital reviewERP / Data owner
UOM inconsistenciesUOM, purchase quantity, stock quantity, supplier pack sizeUOM mismatch creates low or medium confidencePrevent unsafe merge and route to reviewMaterials / Procurement
Obsolete candidatesLast issue date, last purchase date, stock value, usage historyLow movement and aged value signalAging, write-off, or disposition reviewCFO / Inventory
Supplier ambiguitySupplier name, supplier ID, manufacturer, PO historyAlias or preferred-supplier uncertaintySupplier rationalization queueProcurement
Critical-spares governance gapAsset register, BOM, criticality, inventory balance, work-order usageAsset-to-part evidence missing or incompleteCritical-spare readiness reviewMaintenance / Reliability
Executive output

The case study shows the report pack a pilot should produce.

  • duplicate risk summary and capital exposure bands
  • remediation queue with confidence tiers and reason codes
  • assumptions, exclusions, and data-quality limitations
  • recommended next actions for finance, procurement, maintenance, and ERP/data owners
What was not done
No ERP write-backIndustrial IQ produced evidence only.
No automatic deletionRecords were not removed, merged, or overwritten.
No blind mergeReview-sensitive findings stayed with human owners.
No savings guaranteeValue remains a buyer-reviewed diagnostic signal until action is approved.
Buyer relevance

Why this matters to the buying committee.

CFOCapital exposure, carrying cost, duplicate inventory, and finance-review assumptions.
COOUptime, site risk, maintenance execution pressure, and operating continuity.
CIO / CTOLow-risk diagnostic before ERP migration, MDM scope, or AI adoption investment.
CISORead-only export-first approach, source-file purge, human review, and audit metadata boundaries.
ProcurementSupplier/material rationalization queue, emergency buying, and repeated purchase signals.
MaintenanceAsset-to-part readiness, searchability, work-order spare availability, and critical-spare review.
Recommended pilot path: run a free Snapshot or founder-led pilot, review sample reports, then use the buyer evaluation guide to align finance, operations, technology, procurement, maintenance, and security reviewers.
Product experience

Inspect the upload, mapping, evidence, score, report, and action workflow before private data is uploaded.

These are illustrative Industrial IQ UI previews using sample/demo labels. They show the enterprise workflow buyers should expect: read-only upload, mapped fields, confidence-tiered evidence, executive reporting, and governed action tracking.

Industrial IQ in 2 Minutes
Industrial IQ illustrative upload workflow preview Illustrative product UI preview

Upload operational data

CSV/workbook exports from ERP, EAM, CMMS, inventory, procurement, asset, and maintenance systems. No ERP write-back.

Industrial IQ field mapping preview Illustrative product UI preview

Map fields

AI-assisted column matching exposes required fields, optional fields, source-fit score, and data readiness before the run.

Industrial IQ evidence table preview Illustrative product UI preview

Evidence table

Findings show source row, matched record, reason code, confidence, business impact, and reviewer status.

Industrial IQ diagnostic score preview Illustrative product UI preview

Diagnostic score

Score cards separate duplicate risk, source-fit, capital exposure band, and action priority.

Preview boundary: visuals use sample/demo content and do not represent customer data, approved customer outcomes, or financial commitments.

Evaluation assets

Proof, templates, trust, and pilot paths for serious buyers.

Enterprise trust posture

Proof controls buyers expect before they upload operational data.

Source purge Uploaded source files are purged after report generation; summary metrics and Open Findings remain.
No ERP write-back The diagnostic creates evidence for review. It never changes, deletes, merges, or overwrites ERP records.
Local currency Reports display money in the user's selected or country-derived currency, while USD remains the base audit calculation.
Audit trail Report ownership, access, quota, and feedback events are retained for governed review.
Session downloads Excel, Word, PDF, and CSV downloads are available only in the active generation session.
Open Findings Browser findings remain available without retaining the original source catalog rows.
Buyer interpretation

This is the level of evidence a first paid pilot should produce.

The purpose of an Industrial IQ pilot is not to claim instant remediation. It is to create a defensible management fact base: source-backed findings, confidence distribution, exposure assumptions, readiness issues, and a review sequence that executives can govern.

Enterprise 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.

Best-fit reader

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 to expect

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.