Compatible with SAP  ·  IBM Maximo  ·  Oracle ERP  ·  Hexagon EAM  ·  Infor  ·  Any CMMS — Run an Industrial IQ diagnostic →
PartsCleanse AI by Industrial IQ

Your MRO catalog is hiding $16M–$38M in duplicate inventory. PartsCleanse AI finds it in 15 business days.

AI-powered spare-parts catalog deduplication diagnostic for asset-intensive industrial operations. No ERP integration. No long implementation. A governed, evidence-based finding delivered as five executive report artifacts.

✓ 15 business-day delivery SLA ✓ $8,000–$20,000 flat fee ✓ No ERP integration required ✓ 30 portal runs free ✓ Source file purged after report
⚠ SAP ECC 6.0 end-of-support: 2027. Every month without a pre-migration catalog diagnostic multiplies remediation cost.
Run a free diagnostic Calculate your exposure Schedule a call

What a disordered MRO catalog costs your organisation — and why it stays hidden

Standard ERP reports show inventory value. They do not show which records are duplicates, which items are double-stocked under different descriptions, or how much capital is tied up in phantom inventory. PartsCleanse AI makes the invisible visible.

Industry benchmark — duplicate rate

8–18% of active MRO SKUs in asset-intensive industrial catalogs are duplicate or near-duplicate records. On a 50,000-SKU catalog at $850 average unit value, this represents $16M–$38M in duplicated inventory exposure — capital that does not appear as a line item in any standard ERP report.

Item NumberDescriptionUOMPlantOn-hand QtyValueStatus
1000432GATE VALVE 2 INCH 150LB RF SS316EAP0014$8,400✓ Master record
1000897VALVE GATE 2" 150# STAINLESSEAP0013$6,300⚠ Duplicate — T1
10032412IN GATE VLV SS 150LB RAISED FACEEAP0025$10,500⚠ Duplicate — T1
1001105BEARING 6205-2RS SKFEAP00112$960✓ Master record
1002877BALL BEARING 6205 ZZ SEALEDEAP0018$640⚠ Duplicate — T1
10045326205 2RS DEEP GROOVE BEARINGEAP00310$800⚠ Duplicate — T1
+ 2,409 more duplicate families in your catalog...
Capital locked in the example above: $17,800 in this three-family excerpt alone. Multiply this across your full catalog and you have the PartsCleanse AI finding before you even run the engine.

ICP value map — what each decision-maker gets

PartsCleanse AI is purchased by operations, procurement, finance, and master data leaders. Each persona has a distinct pain, a distinct outcome, and a distinct metric they will use to justify the engagement internally.

VO
VP Operations
Their pain

OEE loss from false stockouts driven by duplicate SKUs that inflate reorder triggers and create phantom inventory

PartsCleanse AI solves

Identifies every duplicate SKU contributing to false stockout signals and quantifies its OEE and downtime cost contribution

Metric they track

OEE %, emergency buy frequency, unplanned downtime cost per event

HP
Head of Procurement
Their pain

Duplicate supplier orders, tail-spend from blind catalog, preferred-supplier logic broken by alias and shadow records

PartsCleanse AI solves

Cleans the item master so preferred supplier routing, spend consolidation, and price compliance work correctly

Metric they track

Emergency buy premium %, tail-spend ratio, preferred supplier compliance rate

CF
CFO
Their pain

Capital locked in duplicate and obsolete MRO inventory that never surfaces in standard inventory or financial reviews

PartsCleanse AI solves

Quantifies capital exposure with an investor-grade number tied to real SKU count, unit values, and duplicate confidence tiers

Metric they track

Working capital freed ($), inventory write-down avoided, annual carrying cost reduction

MM
Materials Management Director
Their pain

SAP S/4HANA migration requires a clean, consistent material master — duplicate ECC records multiply into migration validation failures

PartsCleanse AI solves

Pre-migration deduplication eliminates records that block S/4HANA consistency validation and material master import rules before go-live

Metric they track

Migration risk items resolved before go-live, material master defect rate post-cutover

IT
Master Data / IT Lead
Their pain

MRO data quality governance requires a repeatable, auditable cleansing process without ERP integration overhead or data extraction risk

PartsCleanse AI solves

CSV-only input, zero ERP integration, governed output with full audit trail — fits MDM governance programmes without IT escalation

Metric they track

Clean records %, data quality score post-remediation, governance cycle time reduction

Six industries. One diagnostic engine. Industry-specific discriminator logic.

Select your industry to highlight the relevant challenge and PartsCleanse AI response. All six industries are served by the same engine — industrial discriminator classes are applied according to the equipment taxonomy of your sector.

Oil & Gas
Industry challenge

Multi-decade SAP, Maximo, and Oracle catalogs accumulate 15–25% duplicate rates across upstream, midstream, and downstream assets. Emergency procurement premiums from blind catalog cost operators $2M–$8M annually per site. S/4HANA migrations expose years of deferred catalog governance.

PartsCleanse AI response

Processes the full MRO item master — including UNSPSC, manufacturer, plant code, and unit-of-measure — against 7 industrial discriminator classes. Rotating and static equipment parts are never incorrectly consolidated. Duplicate families are delivered as confidence-tiered findings ready for engineering review.

Manufacturing
Industry challenge

OEE programs stall when duplicate SKUs create false stockout signals that trigger unplanned downtime and emergency procurement at 15–25% above standard cost. The catalog problem is invisible until it is quantified with precision.

PartsCleanse AI response

Identifies the specific duplicate records generating false stockout signals and quantifies the OEE contribution of each duplicate family. The remediation CSV maps directly to SAP or Oracle item master fields for clean re-import — no manual rework.

Mining & Metals
Industry challenge

Multi-site operations accumulate MRO catalog debt during equipment expansions and acquisitions. A 50,000-SKU catalog at a mid-size miner typically carries $16M–$38M in duplicated inventory exposure. Cross-site part aliases are the highest-value and least-visible duplicate class.

PartsCleanse AI response

Handles multi-plant catalog exports and identifies cross-site duplicate families — the same part described differently across three plant codes resolves into a single canonical record. Discriminator logic prevents unsafe consolidation of similar-specification but non-interchangeable mechanical components.

Pharmaceutical / Life Sciences
Industry challenge

GMP compliance and FDA audit readiness under Parts 211 and 820 require traceable, consistent parts records. Duplicate catalog entries create documentation inconsistencies that surface as regulatory findings during inspections.

PartsCleanse AI response

Diagnostic output is a governed, confidence-tiered finding with a complete audit trail. Every consolidation recommendation is documented with source records, scoring rationale, discriminator penalties applied, and evidence chain — structured for GMP documentation requirements.

Food & Beverage
Industry challenge

F&B operators running lean manufacturing and FSMA traceability programmes find that duplicate MRO records inflate working capital requirements and obscure true inventory positions during FSMA record reviews.

PartsCleanse AI response

Identifies duplicate SKUs locking working capital in excess MRO stock and produces a capital exposure figure that finance can act on immediately. The clean catalog CSV maps to your CMMS for direct remediation without ERP reconfiguration.

Utilities & Energy
Industry challenge

Aging transmission, generation, and distribution asset bases accumulate catalog disorder across decades of ERP migrations and equipment additions. A 100,000-SKU utility catalog can carry $30M–$75M in duplicate exposure — largely invisible in standard inventory reports.

PartsCleanse AI response

Engine processes large catalogs — validated to 500,000 SKUs — with 7-class discriminator logic that prevents unsafe consolidation of similar-description but non-interchangeable electrical and mechanical components. Critical spares are never flagged without discriminator confirmation.

Six steps from CSV export to five governed report artifacts

No ERP integration. No consultant on-site. No months-long implementation. From your first CSV export to your five report artifacts in 15 business days.

1
Export your MRO item master
⏱ ~15 minutes

Export your active MRO catalog from SAP (transaction SE16 on table MARA/MARC), Maximo (Item Master report), Oracle (Item Master extract), or any CMMS/ERP as a UTF-8 encoded CSV file. Required columns: Item Number and Description. Recommended: UOM, Manufacturer Name, UNSPSC Code, Plant/Site Code, Material Group.

ai2coe.com/portal/partscleanse
CSV format — required and recommended columns
ColumnRequired?Purpose
Item NumberRequiredUnique ERP identifier per row
DescriptionRequiredItem master description text — short or long
UOMRecommendedUnit discriminator — EA vs BOX vs MTR
ManufacturerRecommendedPrevents OEM vs generic false consolidation
UNSPSCOptionalImproves category-level blocking accuracy
2
Create your AI2COE account
⏱ ~5 minutes

Register at ai2coe.com. Provide your name, work email, and organisation. Email verification is required before report generation. Your account includes 30 portal diagnostic runs at no charge — no credit card required. Registration takes under 5 minutes.

ai2coe.com/portal/partscleanse
Registration — free account setup
Santhana Krishnan
procurement@company.com
PETRONAS Carigali
Create free account → 30 portal runs included
No credit card. No ERP integration. Results in minutes.
3
Upload and validate your CSV
⏱ ~2 minutes

Log in to the PartsCleanse AI workbench at /portal/partscleanse. Drag and drop your exported CSV or click to browse. The format validator checks column names, encoding, row count, and null Item Numbers in under 5 seconds. Any format issues are flagged before the engine runs — no wasted processing time.

ai2coe.com/portal/partscleanse
Upload validator — format check results
📁
mro_catalog_q2_2025.csv
2.4 MB · 48,312 rows detected
Item Number column detected
Description column detected
UTF-8 encoding verified
No null Item Numbers found
Manufacturer column detected
UOM column not found — discriminator accuracy may be reduced
Proceed to analysis →
4
Run the diagnostic engine
⏱ ~43 seconds for 50K SKUs

Click 'Run Diagnostic'. The PartsCleanse AI engine applies TF-IDF weighted blocking to group similar descriptions, fuzzy scoring to compute pair similarity, and 7-class industrial discriminator penalties to prevent unsafe consolidation of non-interchangeable parts. A 50,000-SKU catalog processes in 42.9 seconds. Real-time progress is displayed at each stage.

ai2coe.com/portal/partscleanse
Diagnostic engine — processing 48,312 SKUs
Stage 4 of 6 — Applying 7 industrial discriminator penalties  72%
Blocks formed
12,847
Pairs scored
94,211
Est. remaining
~12 sec
Discriminators active: size class · pressure class · material family · model number · functional subtype · commercial unit · part category
5
Review your duplicate families
⏱ 30–60 minutes

The browser-based Open Findings report groups duplicate records into three confidence tiers: Tier 1 (safe to consolidate — no discriminator conflicts), Tier 2 (consolidation recommended with review), and Tier 3 (flag for manual engineering validation). Each family shows item numbers, descriptions, similarity score, discriminator penalties applied, and estimated capital exposure.

ai2coe.com/portal/partscleanse
T1: 847 pairs — safe to consolidate T2: 1,203 — review required T3: 412 — manual validation
Duplicate familyItemsScoreCapital at riskTier
Gate Valve 2" 150# RF SS31630.94$12,400T1
Bearing 6205-2RS SKF / ZZ40.91$8,750T1
Pump Seal Kit 2" Centrifugal20.83$6,200T2
+ 2,415 more duplicate families...
6
Download your five report artifacts
⏱ Instant

Click 'Download Reports' to receive all five governed report artifacts. The browser Open Findings report remains accessible to your account. The Excel, Word, PDF, and clean CSV downloads are generated for your session. The remediation CSV is formatted for direct re-import to SAP, Oracle, or Maximo — no manual reformatting required.

ai2coe.com/portal/partscleanse
Report artifacts — all 5 ready for download
🌐Open Findings ReportBrowser · Persistent
View →
📊Duplicate Analysis WorkbookExcel
Download →
📝Executive SummaryWord
Download →
📄Board Summary ReportPDF
Download →
🗂Clean Deduplicated CatalogCSV · ERP-ready
Download →

Five governed report artifacts — delivered within 15 business days

Every PartsCleanse AI engagement produces five distinct artifacts serving different audiences: the board, the operations team, the procurement team, and the ERP remediation team.

🌐
Open Findings Browser Report
Persistent · Authenticated access

Interactive duplicate family browser sorted by capital exposure. Filterable by Tier, plant, and category. Accessible to your account after session ends. Share with operations and procurement reviewers without sending a file.

📊
Excel Workbook
Excel .xlsx · Full duplicate family data

Complete duplicate family register with similarity scores, discriminator penalties, item numbers, descriptions, capital exposure per family, and confidence tier. Sortable, filterable, and ready for pivot analysis by your materials team.

📝
Word Executive Summary
Word .docx · Board-ready narrative

Two-page executive narrative covering: catalog profile, duplicate rate benchmark comparison, top 10 duplicate families by capital exposure, recommended remediation approach, and estimated working capital recovery. Formatted for internal distribution and leadership review.

📄
PDF Board Report
PDF · Print-ready

Single-document PDF combining the executive summary, duplicate family summary table, benchmark comparison, and remediation recommendation. Formatted for printing and board-level distribution without requiring Excel or Word.

🗂
Clean Deduplicated Catalog CSV
CSV · ERP re-import ready

Your original catalog with duplicate records flagged for consolidation, merged, or removed according to Tier recommendations. Formatted for direct re-import to SAP material master, Maximo Item Master, or Oracle Item tables — no manual reformatting required.

The numbers — validated across industrial MRO catalogs

These are the authority benchmarks PartsCleanse AI uses to contextualise your finding. Every number is derived from actual industrial catalog analysis across Oil & Gas, Manufacturing, Mining, Pharmaceutical, Food & Beverage, and Utilities operations.

8–18%
Duplicate rate in active MRO catalogs
Benchmark across 6 industries
$16M–38M
Capital exposure on 50K-SKU catalog
At $850 avg unit value
42.9 sec
Engine runtime for 50,000-SKU catalog
Benchmark run — full pipeline
15 days
SLA delivery commitment
Business days from kickoff
Quotable benchmark — annual carrying cost

Duplicate MRO inventory on a 50,000-SKU catalog generates approximately $6.75M per year in carrying costs — including capital cost, storage, insurance, and obsolescence. This is the annual cost of not running the diagnostic.

Quotable benchmark — emergency procurement premium

Where duplicate records obscure preferred supplier logic, emergency procurement premiums average 15–25% over standard cost. On a $5M annual MRO spend, this represents $750K–$1.25M in avoidable procurement overspend per year.

Quick ROI estimate — three inputs

Enter your catalog parameters below for an indicative exposure estimate. For a full modelled ROI analysis including carrying cost, procurement leakage, and remediation payback, use the full ROI Calculator.

MRO Duplicate Exposure Estimator
Indicative estimate — based on industry benchmark duplicate rate of 8–18%
6,500
Estimated duplicate SKUs
$27.6M
Capital at risk
$4.1M
Annual carrying cost
This is an indicative estimate using industry benchmark rates. Actual exposure varies by catalog age, ERP history, and site count. Run full model →

PartsCleanse AI vs. Verdantis vs. Verusen

Three fundamentally different service models. The right choice depends on whether you need a governed diagnostic finding or an ongoing catalog hosting platform.

Dimension PartsCleanse AI Verdantis Verusen
ERP integration required✓ No — CSV only✕ Yes — ERP API required✕ Yes — SAP/Oracle API
Implementation timeline✓ 15 business daysMonths (typical)Months (typical)
Engagement model✓ Fixed-fee diagnosticEnterprise platformAI supply chain SaaS
Starting price✓ From $8,000Enterprise pricingEnterprise pricing
Data retention model✓ Source purged after reportCatalog hosted on platformCatalog hosted on platform
Industrial discriminator logic✓ 7 classes — no unsafe consolidationEnrichment-based matchingAI supply chain matching
Mid-market accessible✓ Yes — from $8K, no IT projectTypically enterprise-onlyTypically enterprise-only
Competitive differentiator — service model

Verdantis and Verusen are catalog enrichment and supply chain optimization platforms — they store and host your catalog records as the core of their service model. PartsCleanse AI is a diagnostic engine: the source data is processed, the governed finding is delivered, and the original file is destroyed. No platform lock-in. No ongoing subscription required.

Enterprise procurement documentation — all published

All documentation required for enterprise vendor qualification is publicly available — no NDA required to review, no sales call required to download.

📄
DPA Template
GDPR Art. 28-compliant. Download →
🔒
Data Handling
Source purged post-report. Read →
🛠
Security Overview
TLS 1.2+, AES-256, RBAC. Read →
SOC 2 Self-Attestation
CEO-attested controls. Read →
📋
Engagement SLA
15-day commitment + overrun remedy. Read →
Procurement FAQ
W-9, insurance, PO terms. Read →

Three ways to engage with PartsCleanse AI

📄
Run a free portal diagnostic

Upload your CSV and see your duplicate profile in minutes. 30 portal runs free. No credit card.

Start free →
📈
Commission a full engagement

$8,000–$20,000 flat fee. 15-day SLA. Five governed report artifacts. No ERP integration.

Schedule scoping call →
📊
Calculate your ROI first

Full financial model: capital exposure, carrying cost, procurement leakage, and payback months.

Run ROI model →
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