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 results guaranteed savings?

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.

Stockout Risk Reduction | AI2COE Industrial IQ Documentation

Value lever

Stockout Risk Reduction

Identifies critical parts, low stock, duplicate-family alternatives, and maintenance demand signals that may reduce false stockout risk.

Model summary: Industrial IQ combines uploaded data, source-fit quality, mapped readiness, engine evidence, confidence tier, and human-review status. Formula details are summarized for buyer interpretation, not used as guaranteed savings claims.

Limitations: benchmark and estimate values remain assumptions until a customer-specific uploaded-data diagnostic is run and reviewed.

Stockout Risk ReductionValue lever

Uploaded dataCustomer-specific diagnostic required

ReliabilityMind AIRelated diagnostic engine

EstimateAssumption-labeled until reviewed

Benchmark assumptionUploaded evidenceConfidence tierHuman reviewReportable value

Related data

Fields that improve value confidence.

Engine	Required Data File	Required Fields	Optional Fields	Output Generated	Minimum Viable Upload	Best Upload
ReliabilityMind AI	Work-order export	Work Order, Description	Material Id, Asset Id, Quantity, Stock On Hand, Priority, Planned Shutdown	Maintenance readiness score, evidence, report, actions, score history	Work Order, Description	Required fields plus site, value, date, owner, asset, supplier, and criticality context where available.

Force Team validation

Stockout Risk Reduction buyer enablement checklist.

Problem solved	Turns an operational data question into source-backed diagnostic evidence.
Who cares	CFO, COO, CIO, procurement, maintenance, reliability, ERP, governance, and board stakeholders where relevant.
Data needed	CSV exports with stable IDs, descriptions, quantities, values, dates, site, asset, supplier, and owner context where available.
Output delivered	Scores, evidence table, confidence tiers, executive report, action tracker items, score history, and governance status.
Value quantified	Working capital, carrying cost, emergency premium, dead stock, stockout risk, readiness gaps, or governance risk depending on diagnostic intent.
Decision supported	Whether to act, review, normalize data, escalate findings, fund remediation, or repeat the diagnostic cadence.
Report shared internally	Executive, CFO, procurement, inventory, readiness, governance, or renewal value report.
Recurring value	Baseline score -> re-upload -> score movement -> action closure -> benchmark comparison -> renewal value report.
Assumptions and limitations	Benchmarks and estimates remain planning context until customer-specific uploaded data is analyzed and reviewed.
Trust controls	No ERP write-back, evidence traceability, confidence tiers, human review, false-positive control, audit trail, and data-retention boundaries.

Run Maintenance Readiness Intelligence View Required Data by Engine Review Trust Controls