MRO360 · Inventory Intelligence

Inventory optimization software for MRO and spare parts.

MRO360 turns your spare parts inventory into optimized, defensible stocking decisions. It reads demand, criticality, and lead time, then recommends the min, max, and safety stock for every part and writes the policy back to your ERP or EAM. Purpose-built MRO inventory management software, not a generic planning tool bent to fit.

Built for oil & gas, energy, utilities, and manufacturing

The problem

What poor MRO inventory decisions actually cost

Spare parts inventory is where reliability and working capital collide. Most teams manage it with static reorder points set years ago, spreadsheets, and gut feel. Four failures repeat across asset-heavy operations.

01

Cash trapped in SLOB

Slow-moving and obsolete stock sits on the shelf for years, tying up capital and warehouse space no one has reviewed.

02

Stockouts on critical parts

The one part that matters is missing when a critical asset goes down, and unplanned downtime dwarfs the savings from thin stock.

03

Reorder points nobody trusts

Min/max levels are copied from the last system, never tied to demand, lead time, or criticality, and never recalculated.

04

Dirty item master

Duplicates, missing UNSPSC codes, and inconsistent descriptions make every inventory decision a guess on bad data.

Business Impact

What Changes When Inventory Intelligence Works

Capabilities

The intelligence layer on top of your spare parts inventory

MRO360 sits over your existing ERP or EAM and does the analysis your planners do not have time for, on every part, every cycle. This is what makes it inventory optimization software rather than another place to store numbers.

Demand and criticality segmentation

Every part scored on ABC/XYZ and asset criticality, so stocking policy follows risk instead of averages.

Optimized stocking policies

Min, max, reorder point, and safety stock calculated per part from demand variability and lead time, not copied forward.

SLOB identification and disposition

Surface slow-moving and obsolete stock with a recommended action: hold, redeploy, return, or write off.

Service level by criticality

Set fill-rate targets by criticality class so cash goes to the parts that protect uptime, and nowhere else.

ERP and EAM write-back

Approved policies flow straight back into SAP, Maximo, or your ERP. No re-keying, no parallel spreadsheet.

Continuous re-optimization

Policies are not a one-time project. MRO360 re-runs as demand, lead times, and criticality change.

How it works

From connected data to a policy your ERP acts on

STEP 01

Connect

Pull item master, transactions, and open orders from SAP, Maximo, or your ERP and EAM. No rip and replace.

STEP 02

Build the golden record

Deduplicate, classify to UNSPSC, and enrich descriptions so every part is analyzed on clean data.

STEP 03

Optimize

Calculate min, max, reorder point, and safety stock per part against demand, lead time, and criticality targets.

STEP 04

Approve and write back

Planners review recommendations, approve in bulk or by exception, and MRO360 writes the policy back to the system of record.

Who Uses It

What Each Team Gains

Inventory Intelligence does not add work. It removes the kind that should never have existed in the first place: manual list scanning, reactive emergency orders, and write-offs that arrive as surprises.

Inventory Managers

Start each day with a prioritised action list where items needing attention are already identified and ranked.

Reliability and Maintenance Engineers

Maintenance windows run as planned, with Tier 1 parts confirmed available or alternates already identified.

Procurement Teams

Fewer emergency orders as cross-plant visibility shifts spend from reactive buying to planned procurement.

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Segmentation intelligence

Every part sorted by risk and demand, not gut feel

Generic inventory optimization software treats a bearing and a critical pump seal the same way. MRO360 does not. It maps every part on demand pattern (ABC/XYZ) and asset criticality, then sets a distinct stocking rule for each cell of the grid.

  • High criticality, erratic demand: protect with safety stock, accept the carrying cost.
  • Low criticality, steady demand: lean min/max, order to consumption.
  • Low criticality, dead demand: flag as SLOB and route to disposition.

Outcomes

What teams see when spare parts inventory is optimized

20%+
working capital released from slow-moving and obsolete stock
98%
service level held on critical parts while total inventory falls
Weeks
not quarters, to move from connected data to approved policies

Illustrative ranges. Replace with one sourced customer proof point before this page goes live.

Why MRO360, not generic inventory optimization software

Built for MRO, not finished goods

Intermittent, lumpy spare-parts demand breaks standard forecasting. MRO360 is designed for it.

Criticality-aware by default

Policies weigh the cost of a stockout on a critical asset, not just carrying cost.

Clean data first

Deduplication and UNSPSC classification are built in, so optimization runs on a golden record.

Writes back to the system of record

Recommendations become live policies in SAP or Maximo, not a report that gets ignored.

FAQ

Common questions about MRO inventory optimization

What is MRO inventory management software?

MRO inventory management software manages the maintenance, repair, and operations spare parts that keep equipment running. The strongest tools go beyond tracking quantities: they optimize how much of each part to hold, based on demand, lead time, and how critical the asset is. MRO360 sits in this optimization category.

How is inventory optimization software different from our ERP?

Your ERP records what you have and what you have consumed. It does not decide what you should hold. Inventory optimization software adds that decision layer: it calculates the right min, max, reorder point, and safety stock per part, then writes those policies back into the ERP so the system of record stays authoritative.

Does MRO360 replace our spare parts inventory management system?

No. MRO360 works on top of SAP, Maximo, or whatever you run today. It connects to your existing data, optimizes stocking policies, and writes recommendations back. There is no rip and replace.

How does it handle intermittent, hard-to-forecast spare parts demand?

Spare parts demand is lumpy, and standard forecasting built for finished goods tends to over- or under-stock it. MRO360 segments parts on demand variability (ABC/XYZ) and asset criticality, then applies a stocking method suited to each pattern rather than one formula for everything.

What data does MRO360 need to start?

The item master, transaction history, and open purchase orders from your ERP or EAM. MRO360 cleans and classifies that data into a golden record first, so optimization runs on reliable inputs rather than duplicates and blank fields.

How long before we see results?

Because it reads existing data and does not require replacing a system, most teams move from connected data to a first set of approved policies in weeks. Timelines depend on data quality and the number of stocking locations.

See MRO360 optimize your own parts data

Bring a sample of your item master. We will show you the SLOB you are carrying, the stockout risk hiding in your critical parts, and the policy changes that fix both.

Book a working session

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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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