Fleet, terminal, customs and last-mile systems produce a continuous record of where everything is. Very little of it survives the journey between the operators who capture it and the people accountable for the network.
Not predictions. Things we watch changing inside estates we work in, and what each one asks of the platform underneath.
Now
The hub agenda is measured end to end
National logistics ambition is scored on corridor performance and dwell time, not the throughput of any single terminal. That is a cross-operator measurement problem before it is an infrastructure one.
What it means: your data has to reconcile with somebody else’s.
Next 18 months
Accuracy becomes contractual
Shippers increasingly measure operators on predicted arrival against actual arrival. What was a differentiator is turning into a service level with money attached.
What it means: prediction quality becomes a commercial exposure.
Structural
Automation arrives at the yard first
Automated handling, gate systems and yard robotics generate and consume data faster than planning systems were built to serve.
What it means: the network needs answers in seconds, not overnight.
The gap
Where the value leaks.
The same three gaps appear everywhere we work. This is what they look like here.
The data gap
Telematics, terminal operating systems, transport management, customs and yard systems each hold part of the picture in their own identifiers. Reconciling one shipment across them is manual work, repeated daily.
Consequence: no single view of a journey.
The intelligence gap
Exceptions are discovered on arrival rather than predicted in transit. Delay, detention and demurrage are recorded accurately and prevented rarely.
Consequence: cost absorbed instead of avoided.
The oversight gap
Data crosses operators, jurisdictions and commercial boundaries with no consistent record of what was shared, with whom, or on what basis.
Consequence: exposure that surfaces during a dispute.
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The use cases that matter
Where the value concentrates.
Across a network the returns cluster tightly. Three use cases account for most of the margin available, and each one depends on something being true before the model matters at all.
USE CASE 01
A predicted arrival you can put in a contract
What it actually needs
One consignment identity across fleet, terminal, customs and last mile, plus enough clean historical actuals to train against.
Without the foundation
A prediction built on a partial journey, confidently wrong at exactly the leg you cannot see.
How you know it worked
Predicted against actual variance tight enough to sign a service level against.
USE CASE 02
Detention and demurrage prevented, not reported
What it actually needs
Knowing when the free-time clock started for this container, under this contract, at this terminal, while there is still time to act.
Without the foundation
Charges reported accurately every month and avoided almost never.
How you know it worked
Charges avoided, rather than charges explained.
USE CASE 03
Corridor performance both operators accept
What it actually needs
Dwell measured the same way at terminals with different gate processes and different ideas of when a unit has arrived.
Without the foundation
Every operator’s own numbers make them look fine, and the corridor still underperforms.
How you know it worked
A published ranking neither party contests.
The dependency is unusually blunt in this sector. Every use case above assumes one consignment can be followed across five systems that each call it something different. Solve identity resolution and most of the list becomes reachable at once. Skip it and none of it is, however good the models are.
What we bring
How we close it here.
The same architecture, sequenced for what this sector actually runs on.
Foundation
Governed lakehouse for the network
One governed platform where fleet, terminal, transport and customs data land under shared identifiers, with access set before partners are onboarded.
Delivered on Lakeora Asas.
Connectivity
Reconciled movement data
Ingestion and entity resolution that ties telematics, consignment, container and order records to one physical movement, so a journey can be followed end to end.
The identifier problem solved once, centrally.
Intelligence
Network and corridor visibility
Dwell, detention, utilisation and on-time performance measured the same way across operators and terminals, so a comparison between two sites means something.
Definitions agreed before dashboards.
Use cases
Predictive arrival and exceptions
Arrival prediction, delay risk and exception routing deployed into operations, so the network reacts while the shipment is still moving.
Scoped against detention avoided.
Sharing
Governed partner exchange
Controlled sharing with carriers, customers and authorities where every exchange is permissioned, logged and provable rather than emailed.
Evidence exported, not reconstructed.
Ownership
Capability transfer
Enablement so your team can onboard a new operator, terminal or corridor without a consulting engagement each time.
Runbooks handed over.
Next step
Which of these are reachable today?
That is the question the readiness assessment answers. We map the use cases you
want against what your platform can support now, and tell you which need
foundation work first.
