Looking for advice on optimizing the weekly schedule publish process for a large contact center. We are running into significant latency issues that are causing downstream failures in our integration workflows.
Background
Our environment is Genesys Cloud US2. The team operates in America/Chicago. We manage a workforce of approximately 450 agents. Every Tuesday at 08:00 CT, the automated job triggers the POST /api/v2/wfm/schedules endpoint to publish the new schedule. Historically, this process completed within 45 seconds. Recently, however, the publish job has been taking over 15 minutes, occasionally hitting the 30-minute timeout limit configured in the integration platform.
Issue
The specific error returned is a 504 Gateway Timeout from our internal orchestration layer, but the Genesys Cloud audit log shows the job status eventually changes to completed with a warning about “partial update.” The warning message states: Schedule publish completed with warnings. Some agent shift swaps were not processed due to concurrent modification conflicts.
This causes agents to see outdated schedules in the desktop application for several hours. The issue correlates with a spike in agent self-service activity (shift swaps and time-off requests) occurring simultaneously with the publish window.
Troubleshooting
- Verified that the OAuth service account has the
WFM Adminrole and all necessary permissions. - Checked the
GET /api/v2/wfm/schedules/summaryendpoint prior to publish; no invalid rules were detected. - Attempted to stagger the publish time to 06:00 CT, but the timeout persists.
- Reviewed the
wfm/schedulesAPI documentation and confirmed we are sending the full schedule object payload.
The current payload size is approximately 12MB. Is there a known best practice for chunking the schedule data or using a different endpoint for bulk updates? We need to ensure the schedule is fully committed before the agents start their shifts.