MRO360 Case Study · Chemicals & Process Industries

De-Risking Chemical Plant Maintenance

Working capital, downtime, and compliance in one deployment, across a multi-plant specialty chemicals network running lithium, bromine, and catalyst production lines.

Chemical plant maintenance and reliability operations
Go-Live8–12 wksTime to first go-live, per site
Capital$10–40MWorking capital release range
Procurement40–60%Emergency spend reduction
Downtime25–40%Unplanned downtime reduction
The Situation

Nine plants running independently, one intelligence layer to unify them

Spare parts, criticality, and maintenance planning had been managed independently across roughly 18 sites on a mix of SAP and legacy CMMS platforms, the pattern typical of spare parts management run plant by plant rather than as one network.
Working capital sat locked in duplicated inventory, emergency procurement carried a heavy cost premium, and safety-critical rotating equipment was exposed to stockout risk with no enterprise-wide visibility to catch it. MRO360 was deployed as an intelligence layer above the existing systems, with nothing replaced and no disruption to plant operations.

Why this matters at board level

In a continuous chemical process, a stockout on a certified part is not only a cost event. It is a potential safety, environmental, and regulatory event, carried independently at every plant in the network until now.

Headquarters
Charlotte, North Carolina
Employees
~8,000–8,500
Plant Network
~18 sites, 4 regions
Product Lines
Lithium, bromine, catalysts
Full Case Study

Get the complete de-risking breakdown

The download covers the full technical detail behind this deployment, module by module, along with the governance model that let it run without touching a single plant's ERP.

  • All nine Spare Parts Management modules, with the operational reality each one solved
  • The Work Order Management rollout and how it plugged into the existing modules
  • The complete before-and-after results table, plus what made adoption stick across 18 sites

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What Was Deployed

Nine Spare Parts Management modules, plus Work Order Management

All nine modules were deployed in full, none descoped, spanning visibility, criticality, working capital, and network-wide forecasting and planning.

Foundation

Visibility & Criticality

Finding any part across every plant, and scoring both equipment and parts by real criticality, not spend alone.

Modules 1–3
Working Capital

Obsolescence & Stock Health

Clearing dead stock and discontinued parts before they become write-offs or unplanned exposure.

Modules 4–5
Network Intelligence

Forecasting, Planning & Transfer

Forecasting demand against the real turnaround calendar, setting living reorder points, and moving surplus inventory between plants before a new purchase order is raised.

Modules 6–9
Separate SolutionWork Order Management, an MRO360 work order management solution distinct from the nine modules above, was deployed alongside them to carry parts criticality and certification context through the full work order lifecycle, from creation to technician close-out.
Results

What changed in the first 12 months

The MRO360 deployment falls within the ranges documented for comparable chemicals and petrochemical customers.

AreaOutcome
Working capital in MRO inventory$10M to $40M released
Emergency procurementReduced 40% to 60%
Unplanned downtime25% to 40% reduction on safety-critical equipment
Turnaround parts availability99%+ at mobilisation
Demand forecast accuracyAbove 95% once tuned to the plant calendar

Ranges reflect outcomes MRO360 documents for comparable chemicals deployments. The full breakdown, module by module, is in the downloadable case study.

What You'll Learn

Inside the full case study

  • How MRO360 connected independently run plants across an 18-site chemicals network in 8 to 12 weeks per site, with no ERP replacement and no parallel migration.
  • How process-safety-weighted asset criticality scoring flagged safety-critical SKUs on rotating equipment for certified-substitute-only resolution across every plant.
  • How dynamic reorder points replaced static, years-old SAP configurations simultaneously across all sites, eliminating both overstock and dangerous stock exposure on the same part numbers.
  • How inter-plant transfer intelligence reduced avoidable emergency procurement and increased visibility into critical spares already sitting in surplus elsewhere in the network.
  • How turnaround demand forecasting confirmed certified spares availability 6 to 8 weeks before mobilisation, closing the gap that reactive procurement strategies routinely miss.
  • How the model compounds accuracy over time: correlated failure pattern recognition, supplier lead time calibration, and turnaround forecast refinement with every operational cycle.
Who This Is For

Built for the teams who own MRO and reliability in chemicals

VP Supply Chain & Reliability

Accountable for network-wide emergency spend, turnaround readiness, and inventory performance across multiple chemical plants.

MRO & Procurement Managers

Responsible for spare parts availability, stocking policy, and certified-substitute compliance across a multi-site SAP environment.

Maintenance & Turnaround Planners

Managing work order backlogs across chemical plants and confirming certified parts availability before every planned turnaround.

ERP & Operations Leaders

Deploying an intelligence layer above existing SAP instances without replacement, migration, or IT disruption.

Considering something similar for your own network?

This case study covered the six operational pressures behind one deployment, all nine Spare Parts Management modules, the Work Order Management rollout, and the complete before-and-after results. If you're weighing where your own plants stand before a decision like this, start with a benchmark.

Book A Demo

MRO Master Data Management for a leading $12Bn Oil and Gas company

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.

Material Master Data Challenges

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 & Results Achieved

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:

  • Classified 150,000 materials into 1,210 UNSPSC and 500+ HTS codes
  • Parsed and normalized unstructured material attributes
  • Eliminated duplicates and enriched material descriptions
  • Established real-time data governance and approval workflows
  • Created a centralized repository for cross-functional data access

Results Achieved:

  • Improved Data Accuracy – Eliminated duplicate and inconsistent material records
  • Enhanced Classification – Standardized materials with UNSPSC & HTS codes
    Better Inventory Management – Optimized stock visibility and usage
  • Faster Procurement & Compliance – Enabled seamless material search & regulatory adherence
  • Sustainable Data Governance – Ensured ongoing accuracy with AI-driven maintenance
  • Informed Decision-Making – Centralized data repository for improved operational efficiency

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.

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