What a diagnostic revealed inside a global manufacturer's spare-parts inventory, computed directly from the operator's own system extract, not estimated, not benchmarked.
A multinational manufacturer operating dozens of mills and plants, whose estate had recently grown through a major corporate combination. With the combination came a familiar inheritance: multiple ERP environments, the same parts held under different records at different sites, and a group-wide mandate to deliver synergies and release cash, but limited dedicated capacity to work through spare parts inventory site by site.
MRO360 was deployed as a governed intelligence layer on the operator's existing ERP estate, reading the records already in each system, generating recommendations across sites, and writing approved changes back with a full audit trail.
Every recommendation is explainable and human-approved, nothing executes without sign-off. Because it works from each system's own records, it operates today while broader post-combination harmonisation proceeds, rather than waiting for it.
All figures in this case study are expressed as ratios to protect the customer's confidentiality. Every finding was computed directly from the customer's own system extract, not estimated, not benchmarked.
The mills carried detailed inventory records: stock levels, maximum-level settings, movement history, criticality flags. What was missing wasn't the information, it was the capacity to interrogate it at estate scale and turn the answers into governed action.
The download covers the full diagnostic findings, the module-by-module detail behind each one, and how the business case was sized and de-duplicated to survive finance review.
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Every figure below was computed directly from the customer's own system extract, de-duplicated, and reviewable line by line.
| Metric | Result |
|---|---|
| Dead capital | 42% of inventory value, no goods movement in 24 months |
| Addressable pool | ~Half of analysed inventory value, de-duplicated |
| Time to findings | Days, from system extract to validated results |
| Base case capture | A conservative 10% of the addressable pool |
| Recurring saving | ~22% per year in carrying cost on capital released |
| Engagement cost vs. pool | Identified pool exceeded engagement cost by two orders of magnitude |
Excluded from the headline case entirely: avoided downtime from better critical-spare availability, reduced expedite purchasing, planner productivity, and warehouse-space recovery, treated as additional upside rather than baked into the numbers above.
Accountable for MRO performance across mills that grew through corporate combination, with no consolidated view.
Closing the record ambiguity between business units that leaves surplus at one site invisible to another.
Evaluating duplicate holdings across newly combined sites as a fast, cash-positive synergy lever.
Managing multiple ERP environments post-combination, without waiting for full harmonisation to act.
If your estate has grown through combination, or your dormant stock has never been measured, the same diagnostic can be run on your own extract, in days.
Oil and Gas organizations face huge unwanted costs in the form of losses, penalties and compensation due to industrial accidents, taking a sizable chunk of their revenues. One of the important reasons for failures and accidents is the breakdown of key industrial infrastructure arising from ineffective management of the material base and inefficiencies in the MRO supply chain that are highly critical for the production and maintenance cycles.
More and more organizations are now looking to establish Master Data Management (MDM) implementations in order to manage their assets through informed decision-making based on reliable data and ensure optimal industrial safety across the enterprise.
About the company:
This US based company is a global leader in providing essential mechanical components for both land and offshore drilling rigs, complete drilling and well servicing rigs, as well as a comprehensive range of tubular inspection, internal coatings, drill string equipment, lifting and handling gear, and downhole drilling tools. It also offers supply chain services through distribution centers strategically located near major drilling and production sites worldwide. With over 800 manufacturing, sales, and service centers globally and annual revenues exceeding $12 billion, the company delivers customer-focused solutions tailored to meet the energy industry’s quality, productivity, and environmental needs.
The company faced significant challenges with their master data.
• Lack of consistency and standards for the master data
• Incorrect, incomplete, unclassified and outdated attribute fields of master
data High volumes of data in multiple languages
• Multiple ERP and other legacy instances across the company
• Poorly structured material descriptions
• Lack of data governance and collaboration across cross-functional divisions and locations
Solution: Material Master Data Harmonization & Ongoing Maintenance
The company implemented Verdantis Material Harmonize to cleanse and enrich its historical material master data. Using AI-powered tools and the Verdantis Content Repository, the solution classified, standardized, and eliminated duplicate materials.
Once the data was harmonized, Verdantis Material Integrity was deployed for ongoing data governance. It ensured continuous data accuracy through real-time validation, AI-driven classification, and duplication prevention, maintaining high data quality across enterprise systems.
Key Actions Taken:
Results Achieved:
By integrating Material Harmonize & Material Integrity, the company achieved a scalable, AI-powered Master Data Management framework, ensuring long-term data consistency, efficiency, and compliance.
