Capacity Gap Detection uses AI to flag capacity shortfalls before they bite, enabling proactive rebalancing, by detecting gaps across demand plans, rosters, calendars, and SLA targets, across service planning and capacity management.
Service organisations commit to SLAs while demand, staff availability, and calendars shift constantly. Planners reconcile these in spreadsheets and spot shortfalls too late, so jobs are accepted that cannot be staffed and SLA breaches follow.
The AI runs detection across demand plans, capacity rosters, service calendars, and SLA targets, flagging upcoming capacity shortfalls early enough for planners to rebalance or reschedule.
Lowers the capacity exception rate and reduces SLA breaches caused by unplanned shortfalls.
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