Case study · From the Pluris libraryReceipt no. 1337
What sucked
Rolling out 5G without dynamic resource orchestration meant under-utilization at off-peak and congestion at peak, failing customers and breaching SLAs.
Legacy provisioning took hours of manual work per network slice. The 100M-subscriber operator needed intelligence, not more hardware.
What they built
An AI network-orchestration platform that forecasts demand and provisions, scales, and self-heals 5G slices in real time across a 100M-subscriber operator.
What changed
30% Resource Efficiency
Utilization lift versus static allocation.
<60s Slice Creation
Down from hours of manual provisioning.
99.95% SLA Compliance
Across all enterprise tenants; 93% demand-forecast accuracy.
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