Detects outbound deliveries that are close to loading or goods issue while picking or staging is not yet completed in EWM. This helps prevent dock, loading and carrier waiting-time issues.
Detects warehouse tasks that are still open after the expected processing time. This helps warehouse teams react before picking, staging, or loading delays affect outbound execution.
Detects outbound deliveries where the route is empty although route determination is expected. This helps identify master-data or customizing issues before transport planning or shipment execution starts.
Detects executed freight orders where no charge calculation result exists. This can prevent missing accruals, delayed settlement, or manual finance corrections later in the process.
Detects freight orders where the planned arrival time has passed, but no arrival or final delivery event has been reported. This helps follow up with carriers before customer-service issues arise.
Detects freight orders where the planned departure time is already in the past, but the departure event has not been reported. This helps transport planners find delayed transports or missing event updates.
Detects sales order items where the requested or confirmed delivery date has been reached, but no outbound delivery has been created yet. This helps customer service and logistics identify orders that may miss the promised delivery date.
Detects outbound deliveries close to planned goods issue that still have a delivery block, billing block, credit block, or another blocking status. This helps prevent shipments from being delayed because a blocking issue was discovered too late.
This scenario monitors SAP TM inbound qRFC entries and helps users quickly identify failed, stuck, or relevant inbound communication queues that may impact TM document updates or integration processing. It gives business and support teams an easy worklist to detect inbound queue issues early, so they can react before business documents or follow-up processes are blocked.
This scenario monitors SAP TM outbound qRFC entries and helps users quickly identify failed, stuck, or relevant outbound communication queues that may impact TM integration or follow-up processing. It gives business and support teams an easy worklist to detect outbound queue issues early, so they can react before documents, messages, or connected processes are delayed.