Logistics & supply chain use case

Exception management

The operating problem, the system we deploy, and the one metric it should move. Scoped as a specification, not a slogan.

The operating problem

Watching every lane by hand is impossible, so delays and short shipments surface late, after the recovery options have shrunk.

What we deploy

An exception assistant that watches shipment and inventory signals, flags loads gone off plan, and proposes a recovery action with drafted notifications.

  • Watches shipment and inventory signals
  • Flags loads that have gone off plan
  • Proposes a recovery action and drafts notifications
Outcome target
Target: 20 to 40% reduction in exceptions caught only after the delivery window is missed.
Time to value
8 to 12 weeks to production
Metric we measure
Share of exceptions detected before the promised delivery time.

Where it goes nextExtend to root-cause clustering that shows which lanes and carriers drive repeat exceptions.

Works with the systems you already have
Manhattan WMS
SAP S/4HANA
Snowflake
ServiceNow

Your data remains under your control.

How every use case is scoped

The same four questions, every time

Every use case is scoped around the operating problem, the system, the metric, and the time to value. Nothing ships without a number to move and a source it can cite. The first step is the deployment review, where we map the business process to your systems and agree the metric before building.

Next step

Put a number on this use case

Bring the process. We will define the problem, the metric, and the route to production.

See the deployment review

Start a conversation

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