Why does this setting keep blowing up our schedule optimization runs? Got the “Enforce strict adherence to forecasted interval volumes” toggle switched to true in the WFM settings, but the optimizer throws a 409 CONFLICT with SCHEDULE_OPTIMIZATION_FAILED_CONSTRAINT_VIOLATION every time the roster pushes past 300 agents. Console is empty, just the raw JSON error coming back from /v2/wfm/scheduleoptimization/runs.
Tried tweaking the slack variables and dropping the max overtime cap to 4 hours. Doesn’t matter. The payload looks clean, but it’s choking on the break compliance rules around 10am EST. Running on the 2024-08 release with standard routing and full WFM licensing. Logs show it’s hitting the maxConcurrentShifts limit even though the UI says we’re under the threshold.
{
"errorCode": "SCHEDULE_OPTIMIZATION_FAILED_CONSTRAINT_VIOLATION",
"message": "Interval 10:00-10:30 exceeds capacity threshold",
"details": "Constraint: maxConcurrentShifts"
}
already cleared the cache and re-synced the team structure. nothing changes.
you’re hitting a hard ceiling because the optimizer can’t find a valid integer solution when strict adherence is on. it’s not a bug, it’s math. with 300+ agents, the search space explodes and the solver times out or rejects the initial feasibility check.
the suggestion above about slack variables is correct, but you’re probably applying them wrong. don’t just add them globally. you need to relax the intervalVolume constraint specifically in the scheduleOptimization request payload.
try this JSON patch on your /api/v2/wfm/scheduleoptimization/runs call:
{
"settings": {
"strictAdherence": false,
"constraints": {
"intervalVolume": {
"enabled": true,
"upperBoundPercent": 105,
"lowerBoundPercent": 95
}
}
}
}
setting strictAdherence to false allows the optimizer to use those bounds. if you keep it true, the system demands exact match, which is nearly impossible with shift granularities that don’t align perfectly with 30-minute intervals.
also, check your shiftGranularity. if it’s set to 15 minutes, the solver has to do way more work. bump it to 30 or 60 if your business logic allows. it cuts the node count in the branch-and-bound algorithm significantly.
i migrated a similar setup from Twilio Flex WFM integration and ran into the same 409s. the fix wasn’t in the API headers, it was in the constraint relaxation. the Genesys solver is sensitive to the upperBoundPercent. start at 105, test, then dial down if the forecast errors are small.
don’t fight the constraint. work around it.
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strict adherence is a pain for large rosters. i usually disable it and handle compliance in a post-opt data action. check the forecast vs actual in the output, then flag shifts that dip below threshold. gives the solver room to breathe without breaking rules.
maybe try disabling strict adherence for the initial run. the solver struggles with integer constraints on large rosters. once it builds a feasible schedule, you can enforce rules in a post-opt data action. keeps the ui from throwing 409s while still catching compliance gaps downstream.
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