Suite MDM de Verdantis
The customer-accessible platform for standardizing, normalizing, attributing, rationalizing, and enriching disparate industrial master data into a single source of truth. The productization of two decades of harmonization expertise.
Le problème
Incomplete, inaccurate, unreliable, and duplicate item data ties up working capital and stalls procurement. The problem compounds when the same records live in different ERP and EAM systems, across geographies, and in multiple languages.
$12.9M
Average annual cost of poor data quality to an organization.Source: Gartner
20% to 35%
Procurement cost inflation observed in MRO datasets riddled with duplicates.Verdantis analysis of anonymized customer data
The same part exists under a dozen descriptions. Buyers reorder what you already hold and split spend across vendors that should be consolidated.
Loose free-text descriptions with missing attributes make parts unsearchable and leave criticality and inventory analysis unreliable.
Records scattered across ERP, EAM, geographies, and languages block any single, trustworthy view of what you actually own.
What Harmonize Delivers
Send a sample of your master data and we return the cleansed, de-duplicated, enriched result in a live proof of concept. Normalization means six things, done automatically:
Pick what you need – the form adapts to route you to the right team.
Data Domains
Verdantis has spent two decades specializing in the industrial domains generalist tools handle poorly. Harmonize brings deep, category-specific expertise to each.
Core specialty
Spare parts, MRO, and direct materials cleansed, classified, and enriched to a golden-record standard. Category-specific spec sheets built on the noun-modifier convention give every item searchable, consistent structure.
Explore material MDM →Équipement
Specifications, maintenance context, and lifecycle detail harmonized so assets track cleanly across plants.
Supplier
Consolidated, de-duplicated vendor records that end split spend and broken supplier relationships.
Customer
Standardized customer records with firmographics and legal structure resolved into a single trusted view.
Services
Service and contract line items normalized to the same standard as physical goods for clean spend analysis.
Also aligned by functional requirement
How Harmonize Works
AI engines, category-specific specification sheets, and domain-expert quality assurance work in one pipeline. AI accelerates throughput and consistency; deterministic validation and human approval before any record posts to ERP remain non-negotiable.
Auto Trans AI
Multilingual and inconsistent descriptions are normalized while technical context is preserved.
Auto Class
Records are classified to UNSPSC, eClass, PIDX, or your custom taxonomy by finding noun and noun-modifier pairs.
Specification sheet
The category-specific specification sheet is selected, defining exactly which attributes the item requires.
Auto Spec AI
Structured attribute values are extracted from the source description using category-aware, context-driven logic.
Auto Enrich AI
Missing specifications, manufacturer details, and part numbers are populated from verified OEM and supplier sources.
Auto Dups AI
Five-level, attribute-based matching identifies exact, functional, and hidden duplicates before creation.
Human in the loop, always. Domain-specific mechanical, electrical, and instrumentation engineers quality-check output. Every record is approved before it posts to your ERP, with full audit trails retained.
A single record moving from raw legacy text to a standards-compliant golden record.
Raw legacy input
brng 6205 2rs skf ss
BEARING,BALL 25MM ID
roulement 6205-2RS
mfr: ? uom: ? class: ?
Golden record
Representative product view. Sample data for illustration.
Deduplication
Traditional tools only catch identical records, so abbreviations, unit differences, spelling errors, and cross-supplier naming slip through. Auto Dups AI scores matches across five levels and understands what a record represents, not just how it was typed.
SS, Stainless Steel, St. Stl read as equivalent.Bearring does not hide Bearing.Gate Valve vs GV vs Isolation Valve.95%+
Elimination of duplicates across legacy data with Auto Dups AI.
Candidate matches surfaced against a source record, ranked by confidence, ready for one-click merge.
| Candidate record | Match level | Confidence | Action |
|---|---|---|---|
| GASKET, SPIRAL WOUND, SS316, 4" | L2 attribute | 94% |
Merge |
| Gskt spiral-wnd 316SS 4 inch | L4 semantic | 88% |
Merge |
| SPIRAL WOUND GASKET 4" 316 | L3 part no. | 82% |
Review |
| Gasket ring 4in stainless | L4 fuzzy | 61% |
Review |
Representative product view. Sample data for illustration.
See It In Action
A short walkthrough of the data enrichment process: raw, messy master data classified, standardized, and enriched into clean, ready-to-use records.
Prefer YouTube? Watch on the Verdantis channel or browse all corporate & product videos.
The Agents Behind Harmonize
Each agent owns a defined role and composes into your workflow. Together they classify, extract, enrich, translate, and de-duplicate at scale, while human approval and audit trails stay in the loop.
Auto Class
Classification
Classifies records into UNSPSC, eClass, PIDX, or custom taxonomies by learning noun and noun-modifier patterns from your data.
Auto Norm
Normalization
Normalizes descriptions, units of measure, and value formats to a consistent standard before any matching or comparison begins.
Auto Spec AI
Attribute extraction
Extracts structured attributes from unstructured descriptions using category-aware, context-driven logic.
Learn more →Auto Dups AI
Deduplication
Detects exact, functional, and hidden duplicates across five levels with confidence scoring, driving 95%+ elimination across legacy data.
Auto Enrich AI
Enrichment
Populates missing specifications, manufacturer details, part numbers, and metadata by referencing verified OEM and supplier sources.
Learn more →Auto Trans AI
Translation
Translates and normalizes multilingual descriptions and values while preserving technical context.
Learn more →Part of the wider Verdantis agent family
Native connectors auto-populate D-U-N-S numbers, firmographics, and legal structures for customer records.
Why Harmonize
250+
Large-scale harmonization and enrichment projects delivered.
10x
Throughput versus manual cleansing, via self-learning AI models.
500+
Staff-years of data harmonization expertise built into the platform.
Harmonize understands what a record represents. It reads abbreviations, typos, and cross-vendor naming that rigid rule engines miss.
Classify to UNSPSC, eClass, PIDX, or your own custom taxonomy. Workflows are fully configurable to how your business already runs.
Descriptions and values in multiple languages are normalized and translated while technical meaning is preserved.
Direct integration with SAP, Oracle, and other ERP and EAM systems. Your ERP stays the authoritative system of record.
Every engagement is validated through a live proof of concept on your records, compatible with UNSPSC, PIDX, and eClass standards.
AI drives throughput; deterministic validation and human sign-off before ERP posting keep governance and accountability intact.Built on category-specific specification sheets refined across thousands of categories.
Data Domains
Verdantis has spent two decades specializing in the industrial domains generalist tools handle poorly. Harmonize brings deep, category-specific expertise to each.
Core specialty
Spare parts, MRO, and direct materials cleansed, classified, and enriched to a golden-record standard. Category-specific spec sheets built on the noun-modifier convention give every item searchable, consistent structure.
Explore material MDM →Équipement
Specifications, maintenance context, and lifecycle detail harmonized so assets track cleanly across plants.
Supplier
Consolidated, de-duplicated vendor records that end split spend and broken supplier relationships.
Customer
Standardized customer records with firmographics and legal structure resolved into a single trusted view.
Services
Service and contract line items normalized to the same standard as physical goods for clean spend analysis.
Also aligned by functional requirement
Harmonize cleanses and enriches your historical master data. Pair it with Intégrité to keep that data clean inside your ERP, permanently. Start with a proof of concept on your own records.
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