Plan recommendation

Production-Ready AI Solution

Telecom · Enterprise Solution

Plan recommendation

Match the right plan to each subscriber.

Deploy this use case Explore Telecom Hub

Lumaara

Breww

LIVE AI ENGINE

Real-Time Execution Pipeline

Plan recommendation · Live Event Stream

STREAMING

STAGE 01INGEST

Enterprise Data

Lakehouse & APIs

STAGE 02ACTIVE

Breww AI Kernel

Multi-Agent Engine

STAGE 03ACTION

Automated Action

Low Latency SLA

EVENT MONITOR · TELECOM

ONLINE

[INGEST] Multi-source telemetry batch synced (2,480 items)

p99: 12.4ms

Throughput: 420 ev/s

Accuracy: 99.85%

ZERO-DRIFT SLA

Autonomous AI

15% Impact

Enterprise Guardrails

100% Policy Compliant

The problem

What we hear

Subscribers overpay or underpay for the wrong plan and eventually churn.

Our approach

How we solve it

Usage + preference-based plan recommendation exposed to care, retail, and self-service.

Outcomes

Measured impact

Better plan fit and lower churn
Higher NPS in service touchpoints
Reduced bill-shock complaints

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Detect account takeover attempts in real time.

Talk to us

Bring plan recommendation into production.

Share a couple of lines about your setup — a senior partner will get back within a business day.

Plan recommendation

Plan recommendation · Live Event Stream

What we hear

How we solve it

Measured impact

Other Telecom use cases

Bring plan recommendation into production.

Discuss this use case