> AI agents for ports, rail and terminals | DeityLabs
DeityLabs
Book the audit →

AI agents for ports, rail and terminals

In one line: berth planning, crane scheduling and yard optimisation are well served by established vendors. The gap is the dark data — a substantial share of what determines equipment availability travels by VHF radio, WhatsApp and verbal handover and never reaches the TOS.

Last updated:

Straddle carrier and trucks at a container terminal gate in fog

The gap in your existing stack

Your terminal operating system knows what it was told. It doesn’t know the reefer plug that’s been intermittent for a week, the crane operator’s note about the spreader, or the verbal agreement with the haulier about tomorrow’s slot.

That information exists. It just isn’t anywhere queryable, which means planning runs on an incomplete picture and every handover loses a little more.

Workflows we automate

Equipment status capture

Voice capture from operators and technicians, structured against your asset register and written into maintenance records. The breakdown report that currently travels by radio becomes data.

Gate operations and appointment management

Slot booking, appointment changes, driver comms and gate refusal handling. Hauliers get answers instantly; your gate team stops answering the phone.

Exception handling

Missed slots, equipment unavailability, documentation gaps and rehandle decisions — assembled with full context, resolved where delegated, escalated where not.

Shift handover

What one shift knows, the next shift gets — searchable months later when an investigation asks.

Documentation and customs coordination

Chasing incomplete documentation before it becomes a gate problem.

Traditional vs agent-augmented

TodayWith an agent
Equipment fault reportRadio, then maybe a logCaptured, structured, in the CMMS
Haulier slot queryPhone call to the gate officeAnswered instantly
Missed slotDiscovered at the gateDetected, rebooked, notified
Shift handoverVerbal, unrecordedStructured and searchable
Rehandle decisionOperator judgement, unloggedLogged with reasoning

What we integrate with

TOS: major terminal operating systems with API access
Maintenance: SAP PM, Maximo, Fiix
Rail: scheduling and consist systems
Customs and documentation: national single-window and customs APIs
Comms: SMS, WhatsApp, portal messaging, radio-to-text gateways where deployed
Agents overlay existing cranes, gates and control systems rather than replacing them.

How we de-risk it

No writes to control systems. Crane, gate and automated equipment control is out of scope by design.
Shadow mode against live operations before anything is authorised to act.
Connectivity tolerance. Yards drop out. Capture queues and reconciles.
Your infrastructure, your data. Terminal data is commercially sensitive and stays in accounts you control.

Related use cases

The same workflows, described by the job rather than the sector.

Shift handover and continuity →Exception handling →Predictive maintenance →Certification and vendor compliance →

Frequently asked questions

Do we have to replace our TOS?

No. Agents act through its API and capture the operational reality it never receives.

Will this work with automated equipment?

It reads status and coordinates around it. It does not control it.

What about the multilingual driver population at the gate?

Handled natively across languages without separate builds.

How long to first deployment?

Typically 6–10 weeks from audit sign-off, with the TOS integration usually the longest pole.

Not sure this is your operation

Every sector page describes the workflows we’d expect to find. Yours will differ in ways that matter, and the audit is designed for exactly that — you get evidence about your own business rather than someone else’s.

Book the audit →Estimate the saving →All industries →