What is this resource for?

It helps buyers, sellers, internal champions, or investors understand AI2COE Industrial IQ using evidence-led, no-hype language.

Does Industrial IQ write back to ERP?

No. Industrial IQ produces diagnostic evidence, confidence tiers, reports, actions, and score history without ERP write-back.

Are ROI values guaranteed?

No. Benchmark and estimate language remains planning context until replaced by uploaded-data diagnostic evidence and human review.

PartsCleanse AI Product Brief | AI2COE Whitepaper

Product brief

PartsCleanse AI for sales, marketing, and buyer champions.

MRO catalog deduplication, field quality, UOM consistency, and duplicate capital exposure.

This brief helps the seller explain what the engine does, what data is needed, what output is delivered, what report is produced, what value lever is affected, and what next action the buyer should take.

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.

Product brief matrix

How to position PartsCleanse AI.

One-line value proposition	PartsCleanse AI turns uploaded operational data into Catalog health score, evidence, report output, actions, score history, and governance context.
Buyer pain	MRO catalog deduplication, field quality, UOM consistency, and duplicate capital exposure.
Data required	Description
Optional fields	Material Id, Manufacturer, Mpn, Supplier, Uom, Quantity
Diagnostic output	Catalog health score, evidence rows, confidence tiers, assumptions, limitations, and action recommendations.
Report delivered	PartsCleanse AI Catalog Diagnostic Report
ROI lever	Taxonomy/specification extraction and missing-attribute backlog by material family.
CTA	Run Catalog Intelligence

Required fields

Minimum viable and best upload.

Engine	Required Data File	Required Fields	Optional Fields	Output Generated	Minimum Viable Upload	Best Upload
PartsCleanse AI	Material or item master CSV	Description	Material Id, Manufacturer, Mpn, Supplier, Uom, Quantity	Catalog health score, evidence, report, actions, score history	Description	Required fields plus site, value, date, owner, asset, supplier, and criticality context where available.

Engine operating brief

How this diagnostic works for an ICP.

Business problem	MRO catalog deduplication, field quality, UOM consistency, and duplicate capital exposure.
Buyer owner	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.
Input data required	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, benchmark comparison, and renewal value reporting.

Public proof assets

Sample outputs a Catalog Intelligence buyer can inspect before sharing private data.

These assets use synthetic public sample data. Customer screenshots, customer logos, real results, security questionnaires, and data-room artifacts require written approval before external use.

PDF download

PartsCleanse AI sample executive report

Review the report structure, evidence framing, assumptions, limitations, confidence tiers, and leadership summary.

Browser preview

Interactive sample diagnostic

Inspect how Industrial IQ presents score, evidence, action context, and no ERP write-back governance.

Sample CSV

Sample dataset for trial evaluation

Use a synthetic file to test the upload, mapping, validation, and sample diagnostic journey.

View All Sample Reports View Sample Datasets

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 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, and ROI 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.

Sales-ready product brief

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