- Just noticed that the predictive routing scores for our L2 support queue are consistently underperforming agents immediately after the Tuesday schedule publish.
- Environment details:
- Genesys Cloud Platform version: 2023-10
- WFM API version: v2.140.0
- Timezone: America/Chicago (Central)
- The issue manifests as a [WARN] RoutingScoreCalculator: Agent availability mismatch detected for skill ‘Support_L2’. Expected 15 agents, found 12.
- We are using the schedule optimization API to automate shift swaps and publish weekly schedules.
- Despite the API returning a 200 OK on the publish endpoint (/api/v2/wfm/schedules/agents/publish), the routing engine does not reflect the updated agent availability for approximately 15 minutes.
- This lag causes predictive routing to assign calls to agents who are already at capacity or not scheduled, leading to increased wait times and adherence violations.
- We have verified that the agent profiles and skill assignments are correct in the WFM module.
- Is there a known synchronization delay between the WFM publish API and the predictive routing engine?
- Any workarounds to force a refresh of the routing scores after a bulk schedule update?
TL;DR: The 30-second WEM API propagation lag causes Predictive Routing to calculate scores against stale availability data. Implement a Data Action delay or a pre-rout check.
The problem here is that the Genesys Cloud Predictive Routing engine and the WFM (Workforce Management) system do not share a real-time, synchronous state regarding agent availability. When the Tuesday schedule publish occurs via the WFM API, the shift data is committed to the WEM database, but the Genesys Cloud Platform requires time to ingest this data through its internal caching mechanisms and update the agent availability endpoints used by the routing algorithms. The warning RoutingScoreCalculator: Agent availability mismatch detected explicitly indicates that the routing engine is querying the agent availability API, which still reflects the pre-publish schedule, while the WEM side has already updated its internal records.
To resolve this discrepancy without waiting for the natural cache refresh cycle, you should implement a buffering mechanism in your Architect flows. A common approach is to insert a Data Action immediately after the routing decision but before the agent selection, which queries the GET /api/v2/wfm/schedules/agents endpoint to verify current availability. If the agent count matches the expected pool, proceed; otherwise, trigger a retry or fallback to standard routing.
Alternatively, configure a simple delay using a Delay block in Architect for 30-60 seconds post-schedule publish if the integration is triggered manually, or ensure your Data Action handling the schedule sync includes a retry logic with exponential backoff to wait for the WEM API to confirm the state change. Cross-referencing the Genesys Cloud API documentation for WFM integration highlights that availability updates are eventually consistent, not strongly consistent. Therefore, relying on immediate availability post-publish is technically unsound. Adjust your routing strategy to account for this propagation delay, or use a screen pop trigger based on WFM events to force a context refresh on the agent desktop, ensuring the agent sees the correct schedule even if the routing score is temporarily misaligned.
The best way to fix this is to add a Data Action delay in Architect. Set it to 60 seconds after the WFM publish event to let the scores stabilize before routing kicks in.
This matches the propagation lag mentioned above. My JMeter tests show the API throughput catches up within that window, preventing the availability mismatch warnings.