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SECTORES · FABRICACIÓN Y AUTOMOCIÓN

Saque más de cada línea y pierda menos por el camino.

Miles de proveedores, concesionarios y piezas crean miles de lugares por los que se escapa el dinero. Los encontramos en los datos de su ERP, los valoramos y le ayudamos a actuar, planta por planta.

LÍNEA DE DINEROMargen protegido, existencias liberadas y pagos detenidos, por planta y unidad de negocio.

01Dónde se escapa el dinero en la fabricación

01AHORRAR $

Pagos a proveedores

Facturas duplicadas, pedidos fraccionados y cambios de datos bancarios entre plantas y entidades.

02GANAR $

Programas de concesionarios y distribuidores

Reclamaciones y descuentos pagados fuera de las reglas del programa.

03GANAR $

Inventario

Las existencias de lenta rotación inmovilizan caja mientras otras líneas se quedan cortas.

04AHORRAR $

Fletes

Camiones medio vacíos y facturas de transportistas sin revisar.

Más información →
02Twelve use cases

Twelve use cases across commercial, plant, IT and people risk

COMMERCIAL
  • Vendor risk scoringVendor master, change logs, payments
  • Price creep against contractContracts, orders, invoices
  • Rebates and credit notesRebate terms, billing, credit notes
PLANTS AND TECHNICAL
  • Scrap rate and scrap priceMaterial movements, scrap sales
  • Warranty claim anomaliesClaims, serial numbers, dealer data
  • Capex and toolingProjects, tool payments, parts produced
IT AND SAP
  • Same-user park and postDocument headers, workflow logs
  • Firefighter sessionsSecurity audit log, postings
  • SoD conflicts actually usedRoles joined to transactions
PEOPLE AND COMPLIANCE
  • Duplicate expense receiptsReceipt images, image hashing
  • Pay after exit; shared accountsPayroll, HR master
  • Third-party screeningSupplier master, registries, sanctions

Each use case names the data it needs. Several of those sources sit outside the ERP.

03Two cases

What a sample misses, in the plant and in SAP

Plants and service: the evidence is a rate against peers

Situation
A multi-plant manufacturer; scrap sales and warranty claims reviewed by sampling.
What a sample misses
Every scrap note and claim is documented. The anomaly is the rate, not the record.
Data and technique
Analytics and machine-learning anomaly scores: scrap by plant, line and shift; scrap prices against an index; claims per service partner.
Typical findings
Scrap at twice the peer rate on one line’s night shift; one service partner with repeat serial numbers and claims after expiry.
Control fix
Scrap weighed and priced against an index; serial-number checks before any warranty payment.

SAP S/4HANA: access reviews show who could. Logs show who did.

Situation
An S/4HANA migration: roles remapped, and firefighter and migration users active through cut-over.
What a sample misses
The same user parks and posts, or edits a parked document after approval. Each posting looks authorised.
Data and technique
Process mining on parked-by and entered-by users, change documents and the security audit log, joined to the postings.
Typical findings
Same-user park and post on payments; postings by migration users after go-live; vendor bank changes made in firefighter sessions.
Control fix
Workflow blocks same-user park and post; migration IDs locked at go-live; firefighter sessions reviewed against postings.

Plant data is audit data. And test the migration window like a fraud window: it often is one.

Illustrative composite cases, read-only access. ACFE 2026: non-cash theft features in 41% of manufacturing cases.

04Plant tests

Inventory, scrap and warranty: 12 tests to run first

Inventory and scrapWarranty and service
Scrap rate outliers by plant, line and shiftRepeat serial numbers across claims
Scrap sold below market, or always to one buyerClaims after the warranty has expired
Write-offs just before stock countsService partner claim rates against their peers
Negative stock and backdated movementsParts claimed against labour hours claimed
Count adjustments posted by the same userClaims clustered at month end
Slow-moving stock reclassified as scrapThe same technician or customer across many claims

Thresholds are set for each entity and tuned on the results. Plant and quality data may sit outside the ERP.

05Ganar $ y Ahorrar $ en la fabricación

GANAR $
Precios y margen (Vittora CPX) Capital circulante e inventario (Vittora SCM) Fuga de ingresos (pruebas de pedido a cobro de CompliBear)
AHORRAR $
Fraude y pagos duplicados (CompliBear) Riesgo de terceros (CompliBear TPRM) Fletes y logística (ToS)
PRUEBAS

ALTeX Hub nació como un prototipo de supervisión de controles para una sola planta. Un fabricante de componentes de automoción liberó USD 2.8 Mn de capital circulante al reducir un 22% las existencias de lenta rotación en 4 almacenes.

¿Dónde se esconde su dinero?

¿Dónde se esconde su dinero?

Tres minutos para una estimación. Treinta minutos para un plan. Seis semanas para hallazgos valorados con sus propios datos.