Real-Time Allocation Analysis
Allocation Anomalies.
SmartAlloc's ML algorithms scan 100% of resource allocations for inefficiencies. Every over-provisioned pool, idle resource, and capacity bottleneck is flagged for optimization.
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ML Detection Logic
"Z-Score statistical engine computes per-resource-type utilization baselines. Any allocation deviating >1.8σ from its pool mean is flagged as anomalous."
Anomaly Thresholds
"Over-allocated resources (>2× needed), under-utilized pools (<20% usage), and capacity bottlenecks (>95% usage) are escalated for rebalancing."
Active Anomaly Stream
| Request / Project | Anomaly Type | Department | Utilization / Waste |
|---|---|---|---|
| Scanning allocations... | |||