Beyond Data Cleaning

Inventory Intelligence — What Your Clean Data Tells You

Data cleaning is step one. The real value is what clean data reveals about your inventory. Orphan parts, slow-movers, criticality gaps, and BOM linkage issues — all hiding in plain sight.

The Cost of Ignorance

50-60%
of MRO inventory is typically excess or obsolete
20-30%
annual carrying cost of holding inventory
$12.9M
average annual cost of poor data quality (Gartner)

Four Intelligence Modules

Once your data is clean and classified, we run four analyses that turn data into actionable inventory insights.

Orphan Parts Detection

Parts not linked to any active equipment. They're sitting in your warehouse for assets that have been decommissioned, sold, or scrapped.

Up to 25% of spare parts inventory is typically orphaned

Slow-Moving Stock Analysis

Parts with zero transactions in 24+ months. Some may be genuinely needed as insurance stock. Many are just tying up capital.

Requires transaction history — 24 months minimum recommended

Criticality Indicators

NMQ classification identifies safety-critical items — VALVE RELIEF, BREAKER CIRCUIT, DETECTOR GAS. These should ALWAYS be stocked regardless of consumption patterns.

Derived from NMQ classification — no BOM data required

BOM Gap Analysis

Where BOM linkage is missing, incomplete, or pointing to decommissioned equipment. Identifies parts that exist in inventory but have no connection to active assets.

Requires equipment/BOM data for full analysis

What Customers Can Expect

Clean data combined with inventory analysis typically reveals significant cost reduction opportunities.

20-40%
inventory cost reduction identified through orphan removal, deduplication, and slow-mover dispositions
$750K+
typical annual carrying cost savings for a $10M spare parts inventory
48hrs
to receive your initial audit with inventory health indicators
Where Analyse Fits in the Process
01
Upload
02
Audit
03
Clean & Classify
04
Analyse
Orphans, slow-movers, criticality, BOM gaps
05
Deliver
See the full 5-step process

What You Need to Provide

Spare Parts Data

Your material master extract. Required for all analysis.

Required

Equipment / BOM List

Equipment hierarchy and bills of materials. Unlocks full analysis.

Recommended

Transaction History

Issue/receipt records. Enables slow-mover analysis.

Optional

Frequently Asked Questions

Do I need BOM data for inventory intelligence?
BOM data unlocks the full analysis — orphan detection, BOM gap analysis, and equipment-to-parts linkage. Without BOM data, we can still flag slow-movers from transaction history, identify safety-critical items from NMQ classification, and detect equipment records mixed in with spare parts. The audit report will outline exactly what's possible with and without BOM data.

What if I don't have transaction history?
Transaction history is used for slow-mover analysis (identifying parts with zero consumption in 24+ months). Without it, we can still run orphan detection, BOM gap analysis, and criticality flagging. We recommend providing at least 24 months of transaction data if available.

How do you identify orphan parts?
Orphan parts are spare parts linked to equipment that has been decommissioned, sold, or scrapped — but the parts are still in your inventory. We identify them by cross-referencing your clean spare parts data against your equipment list and BOM. Parts linked to inactive or missing equipment are flagged as orphans.

What's an Inventory Health Score?
The Inventory Health Score (0-100) is a composite metric that measures the overall quality and efficiency of your spare parts inventory. It factors in BOM linkage rates, orphan part percentages, slow-mover ratios, criticality coverage, and duplicate rates. A score of 80+ indicates a well-managed inventory. Most organisations score between 30-50 on their first assessment.

How much can I save with inventory intelligence?
Results vary by organisation, but customers typically identify 20-40% of inventory value as excess, obsolete, or orphaned. With annual carrying costs of 20-30% of inventory value, even a modest reduction delivers significant savings. A $10M spare parts inventory with 30% excess and 25% carrying cost represents $750K in annual waste.

Does this replace a full inventory optimisation project?
No — inventory intelligence is a diagnostic step, not a full optimisation program. It identifies the problems and quantifies the opportunity. What you do with the findings (dispose of orphans, renegotiate stocking levels, implement min/max policies) is an operational decision. We provide the data and recommendations; your team or a consultant implements the changes.

Start with a Free Audit

Upload your spare parts data and we'll show you the inventory intelligence opportunity hiding in your data — for free.

Start Your Free Audit