Duplicate MRO item records expose between 3% and 18% of catalog SKUs depending on industry, ERP history, and catalog governance maturity. At an average industrial unit value, a 50,000-SKU catalog at the midpoint duplicate rate carries $6M–$27M in capital at risk. This reference table documents the validated benchmark ranges used in PartsCleanse AI diagnostic reports.
MRO catalog duplicate rates vary from 3% in lower-complexity industries (higher education, hospitality) to 18% in mature industrial operations (oil & gas, aerospace & defense). The primary drivers are catalog age, ERP consolidation history, multi-site procurement, and vendor alias proliferation. PartsCleanse AI applies these industry-specific benchmarks as the interpretation baseline for every diagnostic run.
Capital-at-risk figures assume a 50,000-SKU reference catalog at the industry average unit value. Actual exposure scales with catalog size, average unit value, and carrying-cost rate (22–28% annually on duplicate positions).
| Industry | Low | Avg | High | Avg Unit Value | Capital at Risk (50K SKU) |
|---|---|---|---|---|---|
| Oil & Gas | 8% | 13% | 18% | $850 | $3.0M – $7.0M |
| Mining | 7% | 12% | 16% | $620 | $2.0M – $4.0M |
| Manufacturing | 5% | 9% | 14% | $320 | $0.0M – $2.0M |
| Food & Beverage | 4% | 8% | 11% | $210 | $0.0M – $1.0M |
| Pharmaceutical | 5% | 9% | 13% | $480 | $1.0M – $3.0M |
| Utilities | 6% | 10% | 15% | $540 | $1.0M – $4.0M |
| Data Centers | 4% | 7% | 10% | $750 | $1.0M – $3.0M |
| Aviation MRO | 6% | 10% | 14% | $1,200 | $3.0M – $8.0M |
| Healthcare Systems | 4% | 7% | 10% | $290 | $0.0M – $1.0M |
| Rail / Metro / Transit | 6% | 9% | 13% | $680 | $2.0M – $4.0M |
| Telecom | 5% | 8% | 12% | $420 | $1.0M – $2.0M |
| Ports & Marine | 6% | 10% | 14% | $760 | $2.0M – $5.0M |
| Aerospace & Defense | 7% | 11% | 16% | $1,650 | $5.0M – $13.0M |
| Warehousing & 3PL | 4% | 7% | 10% | $180 | $0.0M – $0.0M |
| Commercial Fleet | 5% | 8% | 12% | $290 | $0.0M – $1.0M |
| Construction Equipment | 6% | 10% | 14% | $520 | $1.0M – $3.0M |
| Higher Education | 3% | 6% | 9% | $140 | $0.0M – $0.0M |
| Hospitality & Gaming | 3% | 6% | 9% | $170 | $0.0M – $0.0M |
Sources: PartsCleanse AI diagnostic run database, industry MRO surveys, and analyst benchmarks. Ranges reflect real-world catalog samples across ERP environments including SAP, IBM Maximo, Oracle EAM, and Hexagon EAM.
M&A activity and facility consolidations are the single largest driver of sudden duplicate rate increases. PartsCleanse AI is specifically designed to run before ERP consolidation begins.
A gasket supplier listed as "Parker", "Parker Hannifin", and "Parker-Hannifin Corp" generates three catalog branches that procurement treats as distinct sources.
A 40-character SAP description limit forces plant-level abbreviation decisions. The same part described differently at two plants creates inter-site duplicates invisible to a single-site catalog review.
Industrial organizations rarely retire stale records. Over 20–30 years, the same bearing accumulates 8–15 records across purchasing events, plant transfers, and ERP upgrades.
Decentralized procurement is operationally efficient but catalog-destructive. Cross-site standardization is impossible without a governed duplicate-family map as the baseline.
Pharmaceutical and aerospace organizations cannot delete records without change-control approval. Duplicate rates in these industries are structurally elevated by governance requirements, not data hygiene failures.
Industry benchmarks establish the expected range. They do not tell you whether your 50,000-SKU SAP catalog is at 6% or 14%. PartsCleanse AI runs the diagnostic from a single CSV export and delivers a confidence-tiered duplicate-family map, capital-at-risk figure, and five executive report artifacts within 15 business days — no ERP integration, no IT project.
Grounded in approved AI2COE content only. No unsupported claims.