GraphCargo

See ahead. Decide with evidence.

Predictive decision intelligence for Airfreight.

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PREDICTIVE DECISION INTELLIGENCE FOR AIRFREIGHT

See ahead. Decide with evidence.

Forecast rates. Test disruption scenarios. Trace network exposure.

For commercial, operational and financial Airfreight teams.

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01 · Market forecast

A forward view of the lane.

See a market-rate corridor for the next 4, 8 and 12 weeks — with uncertainty left visible.

See the evidence
Product preview
ObservedForecast corridor
Today

Near-term view

The narrowest corridor for the next four weeks.

02 · Scenario intelligence

Put disruption into the outlook.

Hub closure, strike or tariff change: compare the baseline with a conditional market and network view.

From event to scenario outlook

News → Structured event → Entity mapping → Network exposure → Scenario outlook

Product previewIllustrative scenario · no measured effect
  1. Event
  2. Affected entities
  3. Network exposure
  4. Scenario outlook
What if Frankfurt closes?
Event
Hub closure · Closed in this scenario
Affected entities
FRA · Frankfurt hub · Airport · Hub · Region
Network exposure
Direct connections and downstream routes

Baseline

Scenario outlook

Release status

Review required before release · No outlook when the evidence is insufficient.

Conditional scenario · not a claim of cause and effect

  1. 01

    Event captured

    News and event feeds create a structured input.

  2. 02

    Meaning resolved

    The event is classified by type, place, time and mode.

  3. 03

    Entities mapped

    Airports, hubs, regions, airlines and commodities are connected.

  4. 04

    Exposure traced

    Direct and downstream network paths become visible.

  5. 05

    Outlooks compared

    Baseline and scenario corridors remain visibly separate.

  6. 06

    Evidence checked

    The system releases the view — or abstains.

03 · Network intelligence

See beyond the affected lane.

Trace direct exposure, downstream connections and relevant Air–Sea alternatives across the Airfreight network.

Product previewIllustrative network view · no measured effect

Hub · Lane · Airline · Region · Commodity

A connected view of the Airfreight network and its relevant multimodal corridors.

Entity type
Air cargo hub
Example entity
FRA · Frankfurt Airport
Relationship
Chosen starting point
Focal hub or lane
Direct connections
Downstream exposure
Alternative routes
Relevant Air–Sea corridor

Shown only where an Air–Sea corridor and a relevant commodity profile are mapped.

04 · Decision intelligence layer

One market view. Built from many signals.

Rates, schedules, flown movements, events, commodities and approved customer data — aligned by time, identity and context.

Product previewIllustrative market graph · no measured effect
01Market rates
02Published schedules
03Flown movements
04Events & disruptions
05Commodity profiles
06Air–Sea context
07Approved customer data
  1. 01

    01 · Data sources

    Separate inputs

    Rates, schedules, movements, events and cargo data retain their source meaning.

  2. 02

    02 · Identity

    Shared entities

    Airports, airlines, lanes, events and commodities are resolved consistently.

  3. 03

    03 · Time

    Correct timing

    Event, publication and availability time remain distinct.

  4. 04

    04 · Network

    Connected context

    Hubs, lanes, regions, airlines, commodities and events become one market graph.

  5. 05

    05 · Forecast

    Forward view

    Forecast, scenario and network views are generated.

  6. 06

    06 · Evidence

    Release control

    Only outputs that pass the checks are released.

  7. 07

    07 · Customer context

    Applied securely

    Approved customer data applies the intelligence to a specific network without mixing tenants.

Decision views

Market outlook

Scenario outlook

Network outlook

Schedule reality

Available view

Where the plan meets what actually flew.

Compare the published schedule with flown movements and see where the network deviates from plan.

  1. 01Published plan
  2. 02Aircraft context
  3. 03Flown movement

01

Published plan

The schedule available through OAG.

02

Aircraft context

Aircraft type and payload frame potential physical capacity.

03

Flown movement

ADS-B or TAC Space shows what actually flew.

04

Plan-to-flown gap

The visible difference between the published plan and flown reality.

Illustrative view · no measured effect. Aircraft context frames potential capacity. Flown movements do not measure transported cargo or load factor.

05 · Lane DNA

Every lane carries a different market story.

Commodity mix reveals which events, connections and Air–Sea corridors matter for the lane.

Market commodity mix
Shown as an aggregated market profile.
Approved customer AWBs
Only after explicit customer approval.

01 · Movement

The movement.

Planned and flown movements define the physical route.

02 · Aircraft

The aircraft.

Aircraft type and payload frame potential capacity.

03 · Cargo

The cargo mix.

WACD and approved AWBs reveal the commodity structure.

04 · Lane DNA

The lane gains context.

Its cargo profile informs forecast, scenario and network views.

Illustrative product preview
The lane gains context.: Its cargo profile informs forecast, scenario and network views.

Illustrative product preview · example data, not measured

Market commodity mixApproved customer AWBs

Scroll to explore

06 · Evidence

Every outlook has to earn release.

Frozen at the forecast date. Tested on unseen weeks. Compared with transparent baselines.

  1. 01
    As-of

    Freeze the view

    Use only information available at the forecast date

  2. 02
    Walk-forward

    Wait for reality

    Test on weeks the model has not seen

  3. 03
    Baseline

    Compare simply

    Measure against a transparent reference

  4. 04
    Negative controls

    Reject false signals

    Challenge the result with negative controls

  5. 05
    Release gate

    Release or abstain

    Show only what passes

    Release discipline

    Only released intelligence reaches the product.

Decision support — never an automatic pricing, procurement or trading instruction.

07 · Decision views

One intelligence layer. Different decisions.

Apply the same market and network view to the questions each Airfreight team owns.

01

Forwarders

Commercial & Pricing Teams

  • Which customer lanes need attention?
  • Where should alternatives be reviewed?
  • How does the market outlook change under this scenario?

No automated buying or pricing recommendation.

02

Airlines · GSA/GSSA

Revenue & Network Teams

  • Where is the network exposed?
  • Where does the schedule differ from flown reality?
  • How does our yield compare with the market context?

Yield requires airline-owned revenue, chargeable-weight, segment, mix and capacity data.

03

Airports · Ground handling

Operations & Planning Teams

  • Which nodes are exposed to this scenario?
  • Where may cargo flows shift?
  • Which local workload questions should we test with our own data?

Workload and resource outlooks require airport or handling data.

04

Banking · Research · Strategy

Financial & Research Desks

  • Which events matter to the current market context?
  • Where are new network and trade-flow patterns emerging?
  • Which lanes or regions warrant deeper research?

No automated trading instruction or investment recommendation.

Customer data remains isolated while each team receives a view of its own network and decisions.

Start with one question

Bring your lane. See the intelligence.

Choose a lane, airport or disruption scenario. We will show the outlook, the network context and the evidence behind it.

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