SAP SD Credit Exposure Simulator
When an order lands in a credit block, the first question is how much of the limit is already used and by what. This simulator adds up the exposure components used in a static credit limit check and shows whether a new order fits.
Your numbers
For example down payment requests or bills of exchange.
Billing documents not yet transferred to accounting.
Deliveries not yet billed.
Order value not yet delivered.
Your results
Static model. The real check can also apply a credit horizon date, check by document type and customer-specific percentage tolerances.
Utilization vs new order value
Sweeps New order value from 0 to 400000, holding your other inputs fixed.
Credit block triage view
Want open credit blocks ranked by cause and age from your own system?
Optional. The tool and every export work without this. No spam.
How to use it
Enter the credit limit and the five exposure components for the customer or credit control area. The values correspond to what you see in the credit master data display of the customer: open items from accounts receivable, special liabilities, open billing, open deliveries and open orders. Then set the value of the new order. The result shows the total exposure, utilization and whether a block is triggered.
How the exposure is built
Exposure follows the document flow. An order is open until it is delivered, a delivery is open until it is billed, a billing document is open until it is posted to accounting, and posted invoices become open items until they are paid. In a static check all these amounts are summed and compared with the limit. A dynamic check restricts open orders to a horizon so far-future orders do not count yet.
Reading the result
If the utilization with the new order is above 100 percent, the system would block the order, depending on the check configured for the document type. The largest order that passes shows how much the sales rep can still book. With the defaults the customer has 470,000 of exposure and can only take 30,000 more, so a 75,000 order triggers a block.
- Review open deliveries that were never billed
- Look for unposted billing documents
- Ask whether the limit still matches the payment behavior
Common mistakes
Many credit blocks are caused by stale documents rather than real risk. Old deliveries with no billing, blocked billing documents and unposted billing keep counting toward the exposure. Clean these up before raising a limit. Also check that the exposure update program and the credit control area are consistent after a migration.
Frequently Asked Questions
Is this the same as the old credit management?
The components are the same ideas in classic SD credit management and in the newer credit management. Some newer setups use a score and rules, so treat this as the limit-based part only.
Why is open order value included?
Because the company has accepted an obligation to deliver and will invoice later. Counting it protects against many large orders stacking up before any invoice exists.
Can exposure be negative?
Credit memos and unallocated payments can reduce open items. Enter the net open item balance here, and make sure it matches what finance sees.
What does a tolerance do?
Some configurations allow a percentage over the limit before blocking. If yours does, add the tolerance to the limit field.
We can add a read-only assistant to your SAP data that tells order management which documents drive a credit block and who owns them.
Related Tools
SAP SD ATP Availability Check Calculator
Model the available-to-promise logic: what quantity can be confirmed now and what is backordered, with a sweep of the requested quantity.
SAPSAP SD Milestone Billing Plan Calculator
Split a contract value across milestones, clear an advance proportionally and see the net invoice and retention for each step.
SAPSAP SD Delivery Scheduling Date Calculator
Work backward from the requested delivery date through transit, loading and pick/pack times, and see if material can be ready in time.
SAPSAP SD Volume Rebate Accrual Calculator
Model a tiered volume rebate agreement: year-to-date accrual, forecast payout and the effect of retroactive versus incremental scales.