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 →
Product-wise engine guide

InventoryMind AI Documentation

InventoryMind AI documentation for problem ownership, trigger events, required data, column mapping, diagnostic logic, evidence, score interpretation, confidence tiers, value levers, reports, actions, trust controls, and recurring value.

Run Free Industrial IQ SnapshotRequired Data by EngineDocs Home
8Engines
18Industry guides
0ERP write-back
AI adoption maturity roadmap showing discovery, diagnostics, governance, pilot prioritization, and enterprise scaling stages.
Documentation explains how exported data becomes evidence, reports, actions, and recurring score history.
Engine-to-Value Map

InventoryMind AI turns source data into reportable value.

InputMaterial Id, Quantity + Description, Unit Cost, Stock Value, Last Movement Date, Movement Qty
DiagnosticDead stock, slow-moving stock, excess inventory, stockout risk, critical spare coverage, and duplicate stock exposure.
OutputInventory health score, evidence table, confidence tiers, report, actions, and score history.
ValueABC/XYZ segmentation, site transfer candidates, inventory policy exceptions, and critical understock queue. Service-level scenario simulator with stock-reduction, stockout-risk, and critical-spare protection assumptions.
Engine operating brief

How this diagnostic works for a decision owner.

Readiness labelAvailable through scoped diagnostic
Business problemDead stock, slow-moving stock, excess, stockout risk, and duplicated stock exposure.
Buyer roleCFO, COO, Inventory, Materials, and Supply Chain leaders
Trigger eventDead stock review, excess inventory pressure, stockout risk, slow-moving stock, or critical spare coverage questions.
Core source exportMaterial Id, Quantity
Optional fieldsDescription, Unit Cost, Stock Value, Last Movement Date, Movement Qty, Demand, Criticality, Min Stock, Max Stock, Site, Currency
Upload workflowUpload -> Validate -> Analyze -> Evidence -> Score -> Report -> Action -> Repeat
Column mappingIndustrial IQ profiles source-fit, suggests field matches, asks the user to normalize unmapped required fields, then recalculates mapping readiness before the engine runs.
Evidence generatedSource-backed evidence rows, reason codes, confidence tiers, review status, assumptions, limitations, and action-owner context.
Score outputInventory health score
Report outputInventoryMind AI Inventory Risk Report
Confidence tiersHigh-confidence findings can move to review; weak or unsafe matches stay in human-review queues.
Recurring use caseMonthly or quarterly re-uploads create score history, action progress, planning comparison, and renewal value reporting.
Required fields

Minimum viable fields and engine-specific context.

EngineRequired Data FileRequired FieldsOptional FieldsOutput GeneratedMinimum Viable UploadEngine-Specific Context
InventoryMind AI Inventory balance CSV Material Id, Quantity Description, Unit Cost, Stock Value, Last Movement Date, Movement Qty, Demand, Criticality, Min Stock Inventory health score, evidence, report, actions, score history Material Id, Quantity Description, Unit Cost, Stock Value, Last Movement Date, Movement Qty, Demand, Criticality, Min Stock
Diagnostic logic

What this engine analyzes.

  • Dead stock, slow-moving stock, excess inventory, stockout risk, critical spare coverage, and duplicate stock exposure.
  • Min/max exception detection and transfer-before-purchase evidence.
  • Carrying-cost estimate with sample-vs-uploaded-data labeling.
Recurring value

How the engine matures after the first run.

  • ABC/XYZ segmentation, site transfer candidates, inventory policy exceptions, and critical understock queue.
  • Inventory health trend by site, value band, criticality, and duplicate-family exposure.
  • Executive interpretation for CFO, COO, inventory, procurement, and maintenance.
  • Service-level scenario simulator with stock-reduction, stockout-risk, and critical-spare protection assumptions.
  • Monthly inventory optimization review with prior-run comparison and renewal value report.
  • Planning-context comparison by industry, site type, and critical spare class.
Report interpretation

How to read the output.

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

Inventory Risk IntelligenceValue lever
Uploaded dataCustomer-specific diagnostic required
InventoryMind AIRelated diagnostic engine
EstimateAssumption-labeled until reviewed
Benchmark assumptionUploaded evidenceConfidence tierHuman reviewReportable value
Industrial IQ platform bridge

How this connects to AI2COE Industrial IQ

Inventory Risk 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.
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