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Manufacturing

Manufacturing S/4HANA MRO Readiness Pattern

Representative plant-network case study for manufacturers cleaning MRO master data before SAP S/4HANA migration.

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Operating context

What the buyer is trying to decide.

Manufacturing plants accumulate duplicate spares through plant autonomy, acquisitions, and local naming conventions. The migration risk is that ECC tolerated ambiguous item masters that S/4HANA governance will surface during cutover.

COOCIOPlant ManagerMaster Data Lead
Control evidence
  • Two-engine normalization
  • Part-type discriminator controls
  • Excel and Word executive outputs
Before / after diagnostic posture

The change AI2COE is meant to create inside the buying committee.

Before diagnostic
Plant catalog modelLocal naming by site
OEE impactFalse stockout and planner search friction
Migration postureUnknown duplicate backlog
After diagnostic
Plant-level findingsRanked by duplicate family and site
OEE lensMaintenance-critical families separated
Migration postureEvidence pack for pre-cutover cleanup
Enterprise trust posture

Proof controls buyers expect before they upload operational data.

Source purge Uploaded catalog files are deleted after report generation; only summary metrics and Open Findings remain.
No ERP write-back The diagnostic creates evidence for review. It never changes, deletes, merges, or overwrites ERP records.
Local currency Reports display money in the user's selected or country-derived currency, while USD remains the base audit calculation.
Audit trail Report ownership, access, quota, and feedback events are retained for governed review.
Session downloads Excel, Word, PDF, and CSV downloads are available only in the active generation session.
Open Findings Browser findings remain available without retaining the original source catalog rows.
Buyer interpretation

This is the level of evidence a first paid pilot should produce.

The purpose of a PartsCleanse AI pilot is not to claim instant remediation. It is to create a defensible management fact base: duplicate-family count, confidence distribution, capital exposure, data-readiness issues, and a review sequence that executives can govern.

AI2COE Copilot