MRO Catalog Exposure Scorecard

Benchmark scorecard

Full name Email Designation Company Phone Industry Total active MRO SKUs / records Estimated duplicate rate (%) Average value per affected record ($) Problem to help us assess

What this scorecard tells leadership

Exposure bandLocal, material, or board-level value signal based on benchmark inputs

Economic lensDuplicate SKUs, capital exposure, and annual carrying-cost drag

Next actionWhether to run the actual PartsCleanse AI diagnostic immediately

Benchmark note: This is an estimate. Final ROI depends on uploaded data, unit costs, quantities, confidence tiers, and owner-approved remediation.

Scorecard FAQ

Questions before using the benchmark scorecard.

What is the MRO Catalog Exposure Scorecard?

It is a benchmark estimator that uses catalog size, duplicate-rate assumptions, and average item value to size likely duplicate-catalog exposure before a full diagnostic.

Is the scorecard a final ROI finding?

No. It is a planning estimate. PartsCleanse AI produces the actual duplicate-family evidence from uploaded catalog data.

Who should use the scorecard?

Operations, finance, procurement, maintenance, reliability, and data-governance leaders who need a quick value signal before requesting a diagnostic.

What happens after the scorecard?

If exposure is material, the next step is to run PartsCleanse AI on the actual catalog CSV and review confidence-tiered findings.

Where to go next

Your benchmark is ready. What happens next?

The scorecard gives you an exposure estimate. These three steps convert that estimate into a governed diagnostic with auditable findings.

Step 1

See how the engine works

PartsCleanse AI methodology, confidence tiers, and the five governed artifacts your team receives.

Step 2

Quantify your ROI

Input your catalog volume, part cost, and carrying rate. Get a projected 12-month return before committing to a pilot.

Step 3

Commission a pilot

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