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Markin + SAP and ERP systems integration

Cost, inventory and contract truth behind every offer.

What is a SAP and ERP systems AI agent?

A Markin and SAP or ERP setup reads billing, entitlement and fulfilment records as ground truth for revenue. It is normally read-only: decisions execute in the customer-facing systems, while the ERP remains the accounting source of record.

A decision layer without cost data optimises revenue and quietly destroys margin. The ERP is what stops that, and it is the input most decisioning tools never see.

Read only

What Markin reads

  • Cost and margin by product
  • Inventory and fulfilment constraints
  • Contract and entitlement data

What Markin writes back

  • Nothing. This system is a source of signal, not an executor.

How the connection works

Activation patterns used with SAP and ERP systems
PatternWhat it means here
Read onlyMarkin reads signal from this system. Nothing is written back and no schema is changed.

What can you ask Markin to do in SAP and ERP systems?

  • How do I reconcile marketing uplift with ERP revenue?
  • Can a decisioning platform read SAP billing data?
  • How do I make growth experiments credible to finance?
  • Which revenue number should an experiment be read against?

What Markin does in SAP and ERP systems

  1. 01Read billing documents, entitlements and fulfilment records.
  2. 02Read product and pricing master data.
  3. 03Reconcile experiment reads against recognised revenue.
  4. 04Flag mismatches between engagement data and billed revenue.
  5. 05Use ERP revenue as the outcome variable for causal reads.
  6. 06Respect existing access controls and change windows.
  7. 07Write nothing back unless a specific process requires it.
  8. 08Give finance a verdict in the same numbers it already reports.

Scope of work

The growth work behind SAP and ERP systems

The list above is what Markin touches in SAP and ERP systems. A connector is only the surface. Below is the work itself: what an analyst, a lifecycle manager, a data scientist and an experimentation lead would do between them, running continuously against your own data.

Read the estate

Normally a data engineer, once, then never refreshed.

  • Flag data quality breaks that would make a decision unsafe.
  • Map every customer, account, subscription and plan in the systems you already run.

Find where revenue is leaking

Normally a quarterly analyst deep dive.

  • Spot channels and campaigns spending into audiences that would have converted anyway.
  • Size every finding in revenue, not in percentage points.

Explain why

Normally a two-week investigation pulled off the roadmap.

  • Keep the query trail so an analyst can reproduce every number.
  • Run the investigation automatically and return the drivers with their evidence.

Write hypotheses worth funding

Normally a workshop, limited to the ideas in the room.

  • Write hypotheses continuously across marketing, product, pricing and technical health.
  • Attach the expected revenue effect and the population it applies to.

Decide per customer

Normally segment rules refreshed when someone has time.

  • Respect eligibility, consent, locale and channel preference.
  • Pick the channel, timing and incentive level, not only the message.

Execute in the tools you already run

Normally a ticket, then a slot in next month's calendar.

  • Update audiences, lists and segments without hand-built rules.
  • Route offers, retention plays and save flows to the right surface.

Prove it caused the revenue

Normally argued about, rarely measured.

  • Detect and discount cannibalisation between competing actions.
  • Stop an experiment early when the evidence is conclusive either way.

Retire, govern and hand over

Normally nobody's job, so nothing is ever switched off.

  • Show the whole decision trail when legal, finance or an auditor asks.
  • Hand the team a portfolio they can read, question and overrule.
See the full scope of work Markin runs

Teams use SAP and ERP systems together with

SAP and ERP systems questions

How does Markin connect to SAP and ERP systems?
Read only. Markin reads signal from this system. Nothing is written back and no schema is changed.
What does Markin read from SAP and ERP systems?
Cost and margin by product; Inventory and fulfilment constraints; Contract and entitlement data.
What does Markin write back into SAP and ERP systems?
Nothing. This system is a source of signal, not an executor.
Do we have to move our data to Markin?
No. Markin reads from your warehouse, product events and operational systems in place, on your compute, under the access rules your data team already set. Nothing is copied into a separate customer base and there is no vendor-side profile store to migrate off later.
Does Markin replace our engagement platform or CDP?
No, and it should not. Your engagement platform keeps the channel, the templates, the deliverability and the governance. Your CDP keeps identity and consent. Markin adds the layer neither has: deciding which action deserves to exist for each customer, and proving it against a holdout.
What if the system we use is not listed?
The four activation patterns cover almost everything: attribute write-back, triggered event, decision API and direct surface rendering. Any system that exposes an API, accepts a table, or can read a warehouse column can receive decisions. New connectors are built during deployment, typically in days.

More in commerce, billing and subscriptions

Connect SAP and ERP systems and read the first holdout.