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.

AssetMind AI Documentation | Asset and BOM Data

Engine-to-Value Map

AssetMind AI turns source data into reportable value.

InputAsset Id, Description + Material Id, Asset Status, Criticality, Equipment Class, Site

DiagnosticAsset-to-part linkage, plant-register relevance, critical asset spare coverage, obsolete asset spare exposure, and asset risk heatmap.

OutputAsset intelligence score, evidence table, confidence tiers, report, actions, and score history.

ValueEquipment hierarchy risk heatmap, retired-asset stock queue, equipment-class gaps, and criticality-weighted exposure. Asset criticality matrix and spares coverage index by plant, line, equipment class, and location.

Engine operating brief

How this diagnostic works for a decision owner.

Readiness label	Public synthetic demonstration
Business problem	Asset-to-part linkage, critical spare coverage, obsolete asset spares, and plant risk heatmaps.
Buyer role	Asset Integrity, Maintenance, Reliability, and Operations leaders
Trigger event	Asset register cleanup, BOM readiness, asset-to-part linkage gaps, obsolete asset spares, or critical equipment coverage reviews.
Core source export	Asset Id, Description
Optional fields	Material Id, Asset Status, Criticality, Equipment Class, Site, Last Used Date, Quantity, Unit Cost
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	Asset intelligence score
Report output	AssetMind AI Asset-to-Part Risk 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
AssetMind AI	Asset register	Asset Id, Description	Material Id, Asset Status, Criticality, Equipment Class, Site, Last Used Date, Quantity, Unit Cost	Asset intelligence score, evidence, report, actions, score history	Asset Id, Description	Material Id, Asset Status, Criticality, Equipment Class, Site, Last Used Date, Quantity, Unit Cost

Diagnostic logic

What this engine analyzes.

Asset-to-part linkage, plant-register relevance, critical asset spare coverage, obsolete asset spare exposure, and asset risk heatmap.
Inference from asset ID, equipment tag, description, manufacturer, model, work-order text, and BOM-like references.
Linked, weakly linked, and unlinked critical-spare classification.

Recurring value

How the engine matures after the first run.

Equipment hierarchy risk heatmap, retired-asset stock queue, equipment-class gaps, and criticality-weighted exposure.
Asset-part knowledge graph connecting asset, material, site, equipment class, status, and spare coverage.
COO and maintenance report views by plant, equipment class, and criticality.
Asset criticality matrix and spares coverage index by plant, line, equipment class, and location.
BOM readiness diagnostic before EAM/CMMS modernization.
Portfolio-level asset-spare coverage trend for recurring reviews.

Report interpretation

How to read the output.

AssetMind AI Asset-to-Part Risk Report includes Asset intelligence score, evidence records, confidence tiers, assumptions, limitations, action tracker items, score history, and no-write-back governance language.

Asset-to-Part IntelligenceValue lever

Uploaded dataCustomer-specific diagnostic required

AssetMind AIRelated diagnostic engine

EstimateAssumption-labeled until reviewed

Benchmark assumptionUploaded evidenceConfidence tierHuman reviewReportable value

Industrial IQ platform bridge

How this connects to AI2COE Industrial IQ

Asset-to-Part 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.