Enterprise Asset Management Software

MRO360 is a purpose-built EAM software for spare parts management, asset criticality analysis, demand forecasting, and multi-plant MRO inventory management - combining first-party ERP data with industry-trained AI models to deliver decisions, not just dashboards.

MRO360 · Plant Overview
● Live
Critical SKUs
1,284
↑ 12 this week
Stockout risk
3
▼ from 17
Forecasted demandNext 8 weeks
50%+
of machine downtime is linked to spare parts unavailability
11–35%
of plant OPEX is tied up in maintenance inventory
~25%
of MRO stock is typically dead stock, obsolete or unused
Weeks
— not quarters — for full criticality assessments with MRO360

EAM software, rebuilt for AI-native maintenance operations.

Most fixed asset management software stops at recording what you own. MRO360 starts there — and then connects assets to the spare parts, work orders, suppliers, and consumption patterns that actually keep them running.

The result is a single intelligent workspace where maintenance planners, reliability engineers, and procurement teams can answer questions they previously couldn't: which spare parts are truly critical at part-level (not just asset-level), which inventory is dead, and which work orders deserve attention this week.

MRO360 plugs directly into your EAM, ERP, and CMMS — including native support for SAP Materials Management and SAP Plant Maintenance environments.

What Our EAM Software delivers

  • Spare parts management across plants
  • Asset & part-level criticality analysis
  • AI-Native MRO demand forecasting
  • Dynamic reorder points & inventory optimization
  • Work order integration & prioritization
  • Predictive maintenance signal ingestion
  • Dead stock identification & rationalization

Transform MRO Operations

MRO360 empowers reliability teams with autonomous AI that predicts equipment failures, optimizes inventory, and drives operational excellence.

Unlike traditional systems built for manual processes, this platform uses purpose-built AI agents to deliver predictive insights and automation at enterprise scale.

MRO360 EAM Software

Optimize Your Maintenance Operations with AI-Native EAM Software

MRO360 is Verdantis' flagship EAM module — purpose-built for spare parts management, AI-driven criticality analysis, demand forecasting, and multi-plant inventory optimization for asset-intensive enterprises.

30-min working session with EAM experts — walkthrough mapped to your ERP, no sales pitch
Free 5-day MRO inventory diagnostic from your own ERP, EAM & CMMS extract
Part-level criticality assessment on a sample of your spare parts — beyond traditional FMECA
Contractual ROI guarantee — downtime reduction & inventory savings written into the agreement

Talk to an Expert

Pick what you need – the form adapts to route you to the right team.

How EAM Software works

Four steps from raw ERP data to optimized MRO operations.

MRO360 follows a clear sequence - each step builds on the last, and each one becomes smarter as the software learns your environment.

01

Fixed asset & spare parts data extract

MRO360 integrates natively with your EAM and ERP modules to pull a complete picture of your maintenance environment — fixed assets across functional locations, spare parts and consumables, suppliers and lead-time history, and Bill of Materials documents linking parts to equipment.

Inventory Management tables give a granular view of where every part sits across plants. Users can then search the entire catalog through a Google-like interface powered by NLP, semantic search, and entity matching — including across your spare parts classification hierarchy.

ERP integration EAM & CMMS Multi-plant catalog
02

AI-native asset criticality assessment

Traditional asset criticality assessment and ranking is a months-long manual exercise — FMECA, VED, and ABC analysis championed by Reliability with input from several teams, producing a static 1–10 score.

MRO360 supports those models and runs a proprietary multi-variable ML model that incorporates failure modes, plant activity, supplier lead times, interoperability, substitutability, safety risk, and 25+ ERP-level data points. For critical spares management, this delivers a first: criticality calculated at part-level, not just asset-level — with full justification and human-in-the-loop overrides that propagate learning across all plants.

FMECA · VED · ABC Part-level scoring Human-in-loop
03

Demand forecasting that respects operational reality

Traditional MRO inventory management systems forecast on historical usage alone. MRO360 keeps the mathematical foundation but overlays it with signals that reflect how plants actually run: production volume ramps, planned and unplanned work orders, predictive maintenance signals from IIoT sensors, and stock velocity classification.

The forecasts also identify dead stock and surplus — informing rationalization and working capital reduction across plants. Across the entire MRO category management portfolio, this becomes the basis for systematic cost reduction.

Statistical + AI-native Work order aware Dead stock surfacing
04

Inventory management & dynamic reorder points

This is the command center for setting buffer stock, safety stock, and reorder thresholds for every spare part across every functional location. MRO360 recommends levels aggressively for critical spares and conservatively for non-critical — freeing working capital previously locked in dead stock.

Reorder Point = (Avg Daily Usage × Lead Time) + Safety Stock — calculated continuously from live data. When critical materials dip below threshold, the system alerts planners and auto-suggests either a procurement request or an inter-plant stock transfer. The same engine extends across spare parts management and storeroom operations.

Dynamic ROP Inter-plant transfers Zero stockouts
EAM capabilities

One platform for the EAM features that matter to MRO.

The core enterprise asset management functions that directly shape maintenance, repair, and operations — unified in a single intelligent workspace.

Asset lifecycle management

Track each asset from commissioning to retirement.

Asset registry & hierarchy

Unified register across plants and functional locations.

Equipment master data

Clean, deduplicated equipment records as a single source.

BOM management

Auto-link spare parts to equipment from ERP BOMs.

Asset criticality

FMECA, VED, ABC — plus AI-native part-level scoring.

Work order management

Plan and track work orders with parts consumption visibility.

Preventive maintenance

Schedule PMs and pre-position required spares.

Predictive maintenance

IIoT and SCADA signals predict failures and parts spikes.

Breakdown maintenance

Capture failures and consumed spares for future planning.

Planning & scheduling

Align work orders, crews, and spare parts staging.

Condition monitoring

Real-time sensor data feeds the demand forecast engine.

Spare parts management

Complete catalog with specs, alternatives, and supplier data.

MRO inventory management

Dynamic reorder points and safety stock from live data.

Storeroom & warehouse

Bin-level visibility plus inter-plant transfer suggestions.

Supplier management

Reliability, lead-time, and pricing history per part.

Procurement workflows

Auto-generated requests when stock dips below threshold.

Reliability metrics

MTBF, MTTR, and reliability KPIs per asset class.

Failure & root cause analysis

Failure modes captured and fed into criticality models.

Downtime tracking

Quantify downtime by asset, cause, and revenue impact.

KPI dashboards

Inventory value, stockout risk, dead stock — drill to any SKU.

Multi-plant visibility

Single view of every asset and SKU across the enterprise.

Built on data excellence — not just AI buzzwords.

Most equipment asset management software is either a system of record or a workflow engine. MRO360 is a decision-support layer that turns the data those systems already hold into recommendations a maintenance professional can act on this week.

01

AI-native criticality assessments

Traditional FMECA, VED, and ABC analysis is a months-long alignment exercise. MRO360 closes the same exercise in weeks — and goes further.

  • First-party data from ERP, EAM & CMMS — supplier reliability, lead times, MTBF, past failures
  • Industry-trained models on failure patterns and parts catalogs
  • Part-level criticality, fixing the field's biggest blind spot
  • Human-in-the-loop overrides reinforce learning across all plants
02

Forecasts that respect operational reality

Time-series models alone miss the things that drive MRO consumption. MRO360 overlays them with the signals your planners already think about.

  • Production volume ramps and maintenance consumption curves
  • Planned and unplanned work orders in the pipeline
  • Predictive maintenance signals from IIoT sensors
  • Stock velocity classification: fast, slow, dormant, dead
03

Dynamic reorder calculation

Reorder points that move with the supply chain — not set once and forgotten.

  • Real-time analysis of material movement across plants
  • Low-stock alerts for critical materials across functional locations
  • Auto-suggests procurement requests or inter-plant transfers
  • Zero stockouts while new orders are in flight
04

An intelligence layer that compounds

MRO360 isn't a feature — it's institutional memory for your maintenance organization.

  • Reinforcement training at one plant rolls out globally
  • OEM BOMs and supplier catalogs become structured knowledge
  • Interoperability and substitutability as first-class data points
  • Justifications recorded for every score — auditable and reviewable
Who it's built for

Designed around the teams keeping plants running.

MRO360 serves the planners, asset managers, operational excellence leaders, and procurement teams whose KPIs depend on having the right parts at the right place at the right time.

MP

Maintenance Planners

Plan inventories, prioritize work orders, see current-state inventory across plants, and identify the most reliable suppliers per part.

AM

Asset Management Leaders

Reduce machine downtime and ensure continuity of operations across asset management systems, processes, and technology.

OE

Operational & Process Excellence

Introduce efficiencies, optimize maintenance and procurement processes, and benchmark performance across plant facilities.

IN

Inventory Leaders

Drive inventory excellence — rationalize stock, surface dead inventory, and run multi-plant transfers with confidence.

PR

Procurement Planners

Direct support for MRO procurement — accurate demand signals, supplier intelligence, and reorder point automation.

MX

Maintenance Excellence & Systems

Maintenance Operations, Technology, and Improvement leaders whose KPIs are directly tied to faster repairs and turnarounds.

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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