Promises, graded as made

On time, in full, by the ruler the customer uses. Of May’s 84 deliveries, 76 met the first promise, 79 shipped complete, and 73 did both. The 86.9 percent cannot be improved by reconfirming, only by shipping.

RuleScore delivery performance against the first confirmed date and the full ordered quantity, because reschedules and partials exist to make the metric lie.

Neverlet a reconfirmed date reset the clock. The customer remembers the first promise; a metric that forgets it grades the apology, not the service.

On time, in full, measured by the ruler the customer uses. Everything else is grade inflation.

◆ May performancethe honest partition.

Of the 84 deliveries	Count
On time against the first promise	76
In full against the ordered quantity	79
Both, the measure that matters	73
On time in full	86.9%

The 84 are the delivery page’s population, every one scored. Measured against latest confirmations instead, the number flatters immediately, which is the same loophole the vendor page closes from the buying side. Sample values are illustrative, never client data.

◆ The partial that games the flagsplit, ship, and claim full.

Split a short shipment into two deliveries and each can claim completeness against itself. Scoring in-full against the ordered line, not the delivery, closes the loophole, and practitioners report the honest number landing well below the dashboard one the first time it runs.

Use case

Problem

Delivery dashboards score against reconfirmed dates and per-delivery quantities, the number flatters, and customers disagree with it in meetings.

What we build

Every delivery scored against first promises and ordered lines, the honest partition published, reschedule and split patterns surfaced.

What you get

A service number customers recognize: promises graded as made, partials counted honestly, and the gap between dashboards and reality retired.

Would your delivery score survive the customer’s ruler?

We rescore a quarter and show both numbers.

Talk to us

Terms on this page

SAP: The vendor. Systems, Applications, and Products in data processing.
HANA: SAP’s in-memory database, the platform S/4 runs on.
SD: Sales and Distribution, the order-to-cash module.
on time in full: Both promises kept, measured together.
first promise: The original confirmed date; the honest clock.
partial split: Two deliveries claiming completeness separately.
ordered line: The quantity the customer asked for; the ruler.