IDocs in Error Status

Detects IDocs stuck in error status for selected message types. This is useful for monitoring delivery, order, warehouse, carrier or external integration flows before business users notice missing updates.

Delivery Due for Loading but Not Staged

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.

Overdue Open Warehouse Task

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.

Freight Order Arrival Overdue

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.

Freight Order Departure Overdue

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.

Monitor Web Service Messages

This scenario monitors web service messages and helps users quickly identify failed, stuck, or relevant SOAP/service communication errors that may impact integration with internal or external systems.

TM Inbound qRFC Entries

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.

TM Selection Profile Changed

This trigger acts as a seamless background check, activating the moment any TM selection profile is modified. The 123ger system instantly notifies you of the event to ensure effortless oversight. You will receive a clear alert detailing exactly which profiles were altered and identifying the user who made the changes.