What data does Industrial IQ need?

Industrial IQ works from CSV exports. Required fields vary by engine, and the docs list minimum viable uploads plus best uploads.

Are ROI results final financial outcomes?

No. ROI pages label benchmark, estimate, assumption, limitation, and customer-specific diagnostic requirements.

Does Industrial IQ write back to ERP?

No. Industrial IQ creates evidence-backed diagnostics, reports, actions, and governance review without ERP write-back.

PartsCleanse AI Documentation | Required Data and Reports

Engine-to-Value Map

PartsCleanse AI turns source data into reportable value.

InputDescription + Material Id, Manufacturer, Mpn, Supplier, Uom

DiagnosticInterchangeability classification: exact duplicate, probable duplicate, same OEM reference, substitute candidate, and unsafe match.

OutputCatalog health score, evidence table, confidence tiers, report, actions, and score history.

ValueTaxonomy/specification extraction and missing-attribute backlog by material family. Reference enrichment readiness for OEM catalog, supplier catalog, UNSPSC, eCl@ss, and multilingual descriptions.

Engine operating brief

How this diagnostic works for a decision owner.

Readiness label	Available through scoped diagnostic
Business problem	MRO catalog deduplication, field quality, UOM consistency, and duplicate capital exposure.
Buyer role	CFO, CIO, Procurement, Maintenance, and Materials leaders
Trigger event	Duplicate SKU complaints, SAP or Maximo migration prep, MRO catalog cleanup, supplier alias confusion, or unreliable material descriptions.
Core source export	Description
Optional fields	Material Id, Manufacturer, Mpn, Supplier, Uom, Quantity, Unit Cost, Site, Currency
Upload workflow	Upload -> Validate -> Analyze -> Evidence -> Score -> Report -> Action -> Repeat
Column mapping	Industrial IQ profiles source-fit, suggests field matches, asks the user to normalize unmapped required fields, then recalculates mapping readiness before the engine runs.
Evidence generated	Source-backed evidence rows, reason codes, confidence tiers, review status, assumptions, limitations, and action-owner context.
Score output	Catalog health score
Report output	PartsCleanse AI Catalog Diagnostic Report
Confidence tiers	High-confidence findings can move to review; weak or unsafe matches stay in human-review queues.
Recurring use case	Monthly or quarterly re-uploads create score history, action progress, planning comparison, and renewal value reporting.

Required fields

Minimum viable fields and engine-specific context.

Engine	Required Data File	Required Fields	Optional Fields	Output Generated	Minimum Viable Upload	Engine-Specific Context
PartsCleanse AI	Material or item master CSV	Description	Material Id, Manufacturer, Mpn, Supplier, Uom, Quantity, Unit Cost, Site	Catalog health score, evidence, report, actions, score history	Description	Material Id, Manufacturer, Mpn, Supplier, Uom, Quantity, Unit Cost, Site

Diagnostic logic

What this engine analyzes.

Interchangeability classification: exact duplicate, probable duplicate, same OEM reference, substitute candidate, and unsafe match.
Golden-record candidate generation with completeness, OEM/MPN, specification, value, and UOM reasons.
Supplier alias, canonical UOM, OEM/part-number, taxonomy, and duplicate-prevention evidence.

Recurring value

How the engine matures after the first run.

Taxonomy/specification extraction and missing-attribute backlog by material family.
Reviewer queue by value, confidence, unsafe-match risk, and duplicate-family size.
Cross-site catalog health trend and duplicate-prevention readiness score.
Reference enrichment readiness for OEM catalog, supplier catalog, UNSPSC, eCl@ss, and multilingual descriptions.
Catalog knowledge graph connecting material, OEM, supplier, UOM, site, specification, and review status.
Continuous duplicate-prevention gate for future item creation governance.

Report interpretation

How to read the output.

PartsCleanse AI Catalog Diagnostic Report includes Catalog health score, evidence records, confidence tiers, assumptions, limitations, action tracker items, score history, and no-write-back governance language.

Catalog IntelligenceValue lever

Uploaded dataCustomer-specific diagnostic required

PartsCleanse AIRelated diagnostic engine

EstimateAssumption-labeled until reviewed

Benchmark assumptionUploaded evidenceConfidence tierHuman reviewReportable value

Industrial IQ platform bridge

How this connects to AI2COE Industrial IQ

Catalog Intelligence is not treated as an isolated content topic. Industrial IQ connects it to uploaded data, engine evidence, confidence tiers, executive reports, actions, score history, and governance review.

Run Free Industrial IQ Snapshot Explore 8 Diagnostic Engines

PartsCleanse AIcreates catalog evidence and duplicate-family findings.

InventoryMind AIextends catalog signals into inventory risk, dead stock, excess stock, and stockout exposure.

ProcureMind AIconnects supplier and purchase signals to emergency buying, repeat purchases, and leakage.

FinanceMind AItranslates operating findings into working-capital exposure, carrying-cost assumptions, and finance-review scenarios.

AssetMind AIconnects parts to asset relevance, equipment coverage, and plant-register context.

ReliabilityMind AIconnects spare availability to maintenance readiness, false-stockout risk, and shutdown planning.

ReadyMind AIevaluates ERP, data, governance, and AI readiness gaps before transformation spend.

GovernanceMind AImanages confidence, evidence traceability, human review, and auditability.

Documentation context

Use the docs to move from source export to reviewed diagnostic evidence.

Each guide keeps Industrial IQ documentation tied to source preparation, validation, evidence review, and Trust controls.

Docs home

Prepare export Use approved CSV/workbook exports or governed sample data. Map fields Confirm required fields, aliases, source fit, and limitations. Review evidence Inspect findings, confidence tiers, assumptions, and owner actions. Trust controls No ERP write-back, source-file purge after report generation, and human review before action.