Demand forecasting

Production-Ready AI Solution

Logistics · Enterprise Solution

Demand forecasting

Right capacity, right lane, right week.

Deploy this use case Explore Logistics Hub

Lumaara

Breww

LIVE AI ENGINE

Real-Time Execution Pipeline

Demand forecasting · 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 · LOGISTICS

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

20% Impact

Enterprise Guardrails

100% Policy Compliant

The problem

What we hear

Capacity plans are set at the wrong grain to meet actual demand.

Our approach

How we solve it

Lane- and week-level demand modeling with capacity what-if simulation.

Outcomes

Measured impact

Fewer expedites
Better carrier contracting
Cleaner peak-season readiness

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Talk to us

Bring demand forecasting into production.

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

Demand forecasting

Demand forecasting · Live Event Stream

What we hear

How we solve it

Measured impact

Other Logistics use cases

Bring demand forecasting into production.

Discuss this use case