Reduce churn, detect fraud, and optimize 5G performance with multi-agent systems on Databricks—architected by PipeIQ.
CDRs, OSS/BSS logs, probe telemetry, and call‑center transcripts live in silos—slowing network operations and customer experience initiatives.
Agents monitor KPI streams (RSSI, RSRP, throughput) to flag outages and auto‑create trouble tickets.
Blend usage, complaints, and billing patterns to predict churn; trigger personalized offers in real time.
LLM agents analyze traffic trends and recommend RAN parameter tweaks or small‑cell deployments.
Cross‑correlate CDRs, location jumps, and device fingerprints; escalate high‑risk events to SOC.
Summarize customer calls, suggest resolutions, and auto‑fill CRM notes—reducing AHT.
Agents evaluate campaign ROAS, recommend budget shifts, and generate new creative variants.
LakeFlow Connect streams CDRs, xDRs, probe metrics, and CRM events into Delta with millisecond latency.
Supervisor routes to anomaly, churn, and marketing agents; fuses outputs with cell & subscriber context.
Agents update OSS/BSS, send offers via SMS, and retrain models from feedback signals.
Schema for xDR, PM counters, and probe telemetry; cost‑optimized storage tiers.
AutoML and custom models with explainability & retraining pipelines.
Closed‑loop optimization for PCI, ANR, and power; zero‑touch network.
Graph‑based SIM swap & roaming fraud detection integrated with SOC workflows.
Identity resolution, consent management, and real‑time segmentation on Lakehouse.
Dashboards for NPS, churn, MTTR, and fraud rate—PagerDuty hooks for alerts.