CARGOULD
INTELLIGENCE HUB
Global cargo route utilization & corridor insights
Global Cargo Wallboard
Sample public teaser — aggregated, non-carrier data
Live display mode
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Yesterday global recap
Daily snapshot · D-1 aggregated Non-carrier, corridor-level indicators only
Total CUT® handled yesterday +8.3% vs last 7-day average
124,380 cut·km
Consolidated indicator across intercontinental corridors. Updated once per day, based on yesterday’s network activity.
Last 14 days · global CUT® trend
Two-week trend Forecast +6–9% if pattern persists
Top corridors by activity Aggregated per region pair
Corridor Relative utilization Signal
EU ↔ APAC High · above seasonal baseline Growth corridor
EU ↔ North America Stable · within normal band Balanced
APAC ↔ Middle East Elevated · 12% above baseline Emerging hotspot
LatAm ↔ North America Slightly below historical median Under-utilized
Utilization & corridor signals
From ton-km to CUT® logic Illustrative anomaly detection & hot spots
Sample utilization bands All values anonymized & aggregated
Pattern Typical behavior Route signal
High CUT® / High load profile Core strategic corridors Healthy utilization
High ton-km / Low CUT® Imbalanced leg or under-used asset Optimization potential
Low ton-km / High CUT® Niche lane, strong asset usage Emerging opportunity
Volatile pattern > 30% Unstable demand or network shift Monitor closely
CargoULD applies CUT® logic to transform ton-km and distance into an actionable metric for route planners, network, and commercial teams.
Illustrative daily alert types Teaser view · no carrier-level data
Load factor drift Detects trends deviating from baseline bands Corridor rotation Signals shifts between main trade lanes Utilization anomalies Highlights under- and over-performing flows New pattern detection Points to emerging cargo flows
Example · corridor utilization bands
Stable Within band Out of band
Aircraft & configuration focus
Sample view · airframe-level logic No operator identification, only model archetypes
Illustrative airframe mix Global network · anonymized
Airframe Role in network Example signal
Boeing 777F Long-haul, high-density corridors High CUT® contribution
Boeing 747-8F Peak-season & heavy flows Strategic capacity
Airbus A330-200F Regional & mid-range corridors Flexible deployment
Narrow-body freighters Feeder & e-commerce flows Network stitching
Fleet logic inside CargoULD allows teams to understand how different aircraft configurations contribute to corridor performance and CUT® utilization.
Why this matters for planners Examples of day-to-day questions Wallboard can support
Network planning Which corridors show consistent over- or under-utilization? Yield & sales Where do utilization signals suggest new commercial focus? Ops & control rooms How is yesterday’s performance trending vs recent weeks? Strategy Which corridors are structurally gaining weight over time?