Baggage graph · Case intelligence · Recovery orchestration

A living 3D model of every bag in motion

aerolead.ai ingests airline, airport, and ground-handler feeds into a single, real-time baggage graph — surfacing high-risk journeys, fraud signatures, and recovery opportunities long before they hit the desk.

Journeys per year

12M+

Tier-1 airline scale

Signals per bag

140+

From tag to claim

AI uplift

38%

Faster secondary resolution

See live airline deploymentDeployed across multi-hub, multi-airport networks.
Network previewInteractive baggage graph

Network operations console

A high-fidelity mock of the live console your teams get — out-of-the-box tiles for secondary tracing, irregular operations, fraud detection, partner performance, and SLA tracking.

This is a product preview, not real data.

Live operations console

See live secondary cases, high‑risk journeys, partner performance, and workflow modes in one place so teams can act before issues turn into complaints.

Illustrative data for product overview

Secondary cases · liveRolling 24h

2,184

+38% faster closure

High-risk journeys surfaced

416

Prioritised before passenger complaint

Fraud signatures

92%

Precision across configured network

Airport & handler performance

FRA · Mega-hub

p95 under 8.4h

98.7%

ATL · Hub

p95 under 7.9h

97.9%

DXB · Partner

p95 under 9.1h

96.4%

Workflow modes

Passenger services, baggage services, and network control each get their own lenses — same live graph, tailored to their SLOs.