For warehouse & MRO data owners

Your material master already knows what you own. It just cannot say it.

The parts are on the shelf. The records describing them are inconsistent, incomplete and duplicated across sites - so the stock is invisible to everyone who needs it. Automa.Net rebuilds those records into a Golden Record your ERP and every site can read.
Map my material master
  • Data accepted as-is
  • No pre-cleansing
  • S/4HANA-ready output

Trusted by

SafranRS ComponentsLundbeckRubixIFA GroupToyota Boshoku
40-50%
Of your material master mapped and enrichedWithin the first 48 hours
Up to 15%
Hidden duplicates surfaced across the group3-8% exact, more once functional overlap counts
92%
Data readiness and integrity reachedBy day 45, not month 12

The cost of a bad record

A material master is not a filing problem. It is an operating cost.

Every downstream failure in MRO traces back to a record that could not be read, matched or trusted. Here is what each one actually costs.

  1. 01 / 04

    The part exists, but nobody can find it

    A technician searches free-text descriptions written by four different people over fifteen years. The search fails, so a new part is ordered - and the original stays on the shelf, ageing.

    Cost: Search time, duplicate purchase, and a second unit of frozen capital

    Maintenance technician holding a laptop and searching the racking for a spare part
  2. 02 / 04

    The same component is stocked under three numbers

    Plant A calls it a sensor, Plant B lists it by the distributor’s code, Plant C by an internal legacy number. Three safety stocks are held for what is functionally one item.

    Cost: Triple safety stock on a single part number’s worth of risk

    See how duplicates are found
    Three identical pneumatic cylinders on a workbench, each packed and labelled differently
  3. 03 / 04

    Nobody knows the part is end-of-life until it fails

    Lifecycle status is not a field anyone maintains by hand. The record says nothing, so the first signal is a failed unit and an OEM that stopped producing it two years ago.

    Cost: Unplanned downtime, broker premium, or an emergency retrofit

    Electrician measuring wiring inside an open control cabinet with a clamp meter after a failure
  4. 04 / 04

    ERP integrity degrades faster than anyone cleans it

    Every new record added without a standard makes the next search worse. Manual cleansing projects run for months and are obsolete before they finish, because the inflow never stopped.

    Cost: A permanent cleansing backlog that consumes budget without ever closing

    Dense printed table of part numbers standing in for an unmaintained ERP material master

The Golden Record standard

One record per part, readable by every site, trusted by your ERP

Not a one-off cleanse. A standard your material master is held to, continuously.

Enrichment

48h

Deep technical enrichment, starting immediately

Records are resolved against a catalogue of 10.5M+ unique industrial products and populated with the fields your ERP needs but your source data never had.

  • OEM part numbers, manufacturer and brand normalisation
  • Weights, dimensions and tariff codes for S/4HANA readiness
  • Technical attributes extracted from unstructured descriptions
  • Ingests your material master as-is - no pre-cleansing required
  • Live availability and market price range attached to every resolved record

As it sits in your ERP

MAT-0098431PSU 24VDC 5A SCHNEID ABL8

2 of 11 fields populated

Resolved against 10.5M+ catalogue products

Schneider ElectricObsolete

ABL8REM24050

Phaseo regulated switch mode power supply, 100...240 V AC, 24 V DC 5 A

Schneider Electric ABL8REM24050 Phaseo 24 V 5 A DIN rail power supply, product shot on a white background
Product range
Phaseo
Input voltage
100...240 V AC
Output
24 V DC, 5 A (120 W)
Mounting
35 mm DIN rail
Dimensions
54 × 120 × 120 mm
Protection
IP20
Availability
26 pcs
Avg market price
€136.00

€13.00 - €499.00 across 12 suppliers

Successor mapped

ABLS1A24050

Same Phaseo range, same 24 V DC 5 A output; the optimised generation replaces the retired one

* Illustrative record. Field coverage depends on what your source data contains and what the catalogue can resolve.

A validation layer in front of your ERP

New and changed records are standardised against naming conventions and attribute rules before they land in SAP - so the master stays clean instead of degrading again after go-live.

Up to 40% less time spent searching for a part

When descriptions follow one convention and OEM numbers are populated, a technician’s search returns the part instead of returning nothing - up to 40% less search time in observed cases.

Safety stock sized against risk, not habit

Criticality analysis separates the parts that can stop a line from the parts that cannot - so stock reduction never lands on the wrong item.See the criticality matrix

Obsolescence surfaced across the whole database

Lifecycle status is applied at scale and functional successors are mapped, turning EOL from an incident into a planning input.See the lifecycle rail

Idle at one plant, about to be bought at another

Once every site resolves to the same product, spare-part stock across every warehouse becomes a single searchable pool. The Internal Redeployment Radar flags idle and above-maximum stock before another site raises a purchase order.See the procurement side

Duplicate discovery

Three records, three safety stocks, one physical part

Duplicates are not found by comparing text. They are found by resolving each record to the product it actually describes, then noticing that the products are identical.

  • Plant A · Czechia

    Fotorelé SICK - WSU26/3-103A00 vysílač

  • Plant B · Germany

    WSU263103A00 Safety Single-Beam Sensor

  • Plant C · Poland

    1047984 CZUJNIK BEZP NADAJNIK

Resolved to one Golden Record

MPN
WSU26/3-103A00
Manufacturer
SICK
Held at
3 sites · 11 pcs total
Safety stock held
3× for 1 part

Why text matching is not enough

A string comparison sees three unrelated records above. Semantic matching reads the technical attributes - single-beam photoelectric safety switch, sender unit, 70 m range, Type 4 / PL e, order number 1047984 - and resolves all three to the same catalogue product regardless of language or local convention.

Each match carries a confidence indicator. High-confidence merges can be actioned directly; borderline cases are queued for a human decision rather than merged silently.

What the numbers look like in practice

Exact duplicates typically account for 3-8% of a material master. Once functional overlap is included - different part numbers that do the same job in the same position - the figure commonly reaches 15%.

Consolidating those records is what makes a 5-15% stock reduction possible without touching service levels, because you are removing redundant safety stock rather than reducing cover on a real risk. That range is what we observe across onboarded material masters - your own baseline decides where you land.

Map my material master
3-8%
Exact duplicates in a typical material master
15%
Commonly reached once functional overlap counts
5-15%
Stock reduction without touching service levels

Lifecycle & criticality

The two attributes that decide what you stock and when it fails

Neither works on a sample. Applied across every record, lifecycle status turns end-of-life into a maintenance planning input, and criticality turns stock reduction into a decision you can defend.

Lifecycle status, applied to every record instead of the ones you happened to check

  1. 01

    Active

    In full production. No action beyond normal stock policy.

  2. 02

    Mature

    Still supplied, but the successor generation has launched. Plan the transition on your terms.

  3. 03

    NRND

    Not recommended for new designs. Stop specifying it into retrofits and new lines now.

  4. 04

    Obsolete

    Production ended. Remaining supply is broker stock at broker prices.

  5. 05

    Successor mapped

    A functional replacement is identified and linked to the record, before you need it.

What no site will ever need again is a different decision - recovering its value is covered on the Surplus recovery page.

Cutting stock is easy. Cutting the right stock is the job.

Any consultant can take 20% out of your inventory. The question is whether the line stops eight months later.
Criticality

Critical · slow-moving

Rarely consumed, stops production when it fails. The most expensive item to be wrong about.

Protect - hold cover

Critical · fast-moving

Consumed regularly and production-stopping. Availability is non-negotiable.

Optimise, never cut

Non-critical · slow-moving

Rarely used, replaceable, not production-stopping. Where the frozen capital usually sits.

Reduce or redeploy

Non-critical · fast-moving

High turnover, low consequence. Manage on price and lead time, not on cover.

Consolidate supply

Consumption frequency

You cannot segment what you cannot identify. If the same part appears three times under three descriptions, its consumption looks slow in all three records - and it lands in the wrong quadrant every time.

  • Optimised safety stock levels calculated per part, per site
  • Stockout risk on mission-critical positions modelled explicitly, not assumed
  • Reduction targets applied only where consequence is low
  • Criticality defined by you - your process knowledge, our data layer
  • Reduction calls backed by market data: who still stocks the part, where it ships from and what it costs today

How the enrichment actually works

What we can resolve, what we cannot, and how you can tell the difference

Enrichment claims are easy to make and hard to audit. These are the mechanics, including the limits.

OEM brands the catalogue resolves to

Siemens
ABB
Schneider Electric
Phoenix Contact
Omron
Balluff
Festo
Mitsubishi Electric
SICK
SMC
ifm electronic
Beckhoff
WAGO
Bosch Rexroth
Lenze
9000+OEM brands
10.5M+unique industrial products

What the catalogue fills in

Description
Power contactor, 9 A, 4 kW / 400 V, 3-pole
Manufacturer
Siemens
MPN
3RT2016-1BB41
Net weight
0.294 kg
Lifecycle
Active product

+20 more attributes

The method

Each record is parsed for technical attributes and matched against a catalogue of 10.5M+ unique industrial products, normalised to OEM part numbers rather than to any one distributor’s structure. Where an OEM number is present in your data it anchors the match; where it is absent, semantic matching on attributes does the work.

Matching runs on your material master as-is. Nothing is standardised in your source system until you accept the output.

The limits

The 40-50% mapped in 48 hours is the share we resolve with high confidence at first pass. The remainder is not lost - it is worked through progressively toward the 92% readiness figure - but the first-pass number is deliberately the one we quote, because it is the one you can verify yourself two days in.

Records with no manufacturer, no usable description and no OEM reference cannot be resolved from the material master alone. We ask you for any reasonable additional data source - purchase text, invoices and POs, SAP translation tables - and look through those for traceability against the catalogue. If that gives no match, we have a dedicated stock take app for your warehouse team, AutomaSNAP, and the part is identified from its nameplate instead of being guessed at. Every figure quoted on this page is an observed range across the material masters we have onboarded, not a guarantee.

Confidence is shown, not hidden

Every match carries a confidence level. Low-confidence results are queued for review rather than written into your master.

Your data is never sold

Aligned with ISO 27001, hosted on Microsoft Azure with Cloudflare protection, MFA and role-based access by site.

You keep the decision

Merges, successor mappings and stock changes are proposals until your team approves them. Nothing writes back automatically.

Send one export. See what your records really contain.

Within 48 hours you will have 40-50% of your material master mapped and enriched, a first duplicate list, and a clear view of what can and cannot be resolved from your data. No commitment attached to the result.

Map my material master

Frequently asked questions

How do you reduce duplicate MRO parts without a manual data cleansing project?

Manual cleansing is too slow to ever catch up with the inflow of new records. Instead, your material master is ingested as-is and duplicates are identified by resolving each record to the product it describes and comparing technical attributes - not by comparing description text. That makes a 5-15% stock reduction achievable without waiting out a twelve-month data project, because the redundancy being removed is genuine rather than assumed.

What exactly does “Golden Record” mean in an MRO context?

One authoritative record per physical part, shared across every site, with standardised description, manufacturer, OEM part number, technical attributes, tariff code and lifecycle status. The point is not tidiness. It is that a search at Plant C returns the part Plant A already holds, and that your ERP can be trusted as a source of truth rather than treated as a rough guide.

How does this support data governance and material master standards in SAP?

The platform acts as a validation layer in front of your ERP. Technical attributes and naming conventions are standardised and checked before records reach SAP, which keeps the master clean instead of letting it degrade again after go-live. Output is structured for S/4HANA readiness, and teams typically see part search time drop by up to 40% once descriptions follow one convention.

How do you identify obsolete parts and find replacements?

Lifecycle status is applied across the database rather than checked item by item, so End-of-Life components are identified as a list. Functional successors are then mapped and linked to the record, which turns obsolescence into a planning decision - last-time-buy, retrofit, or successor qualification - instead of an emergency discovered when a unit fails.

How do you balance stock reduction against the risk of production downtime?

By segmenting before cutting. Criticality analysis separates parts that can stop production from parts that cannot, and optimised safety stock levels are calculated against real consumption once duplicates are consolidated. Reduction targets are applied to the non-critical, slow-moving quadrant. Mission-critical positions are protected, and stockout risk on them is modelled explicitly rather than assumed away.

Do we have to clean our data before sending it?

No - that is the point. The engine ingests the material master in whatever state it is in, including blank manufacturer fields, mixed languages and legacy internal codes. Handling that mess is the work. Records that genuinely cannot be resolved from the data available go through an extra-source pass and then a nameplate stock take, rather than being filled in with guesses.

What happens to records you cannot match?

They are surfaced, not hidden. First we ask you for any reasonable additional data source - purchase text, invoices and POs, SAP translation tables where they exist - and look through those extra sources for traceability of the material against our catalogue. If that gives no match, we have a dedicated stock take app for your warehouse team: AutomaSNAP. The part is photographed on the shelf and identified from its nameplate rather than from the record.

How does this differ from the procurement price benchmarking you offer?

Different question, same foundation. This page is about the record: what a part is, whether you already own it, and how much you should hold. Price intelligence is about what that part should cost on the open market. Enrichment comes first in both cases, because you cannot benchmark a price for a part you have not yet identified.