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Maritime & Ports

Rail & Inland Sync

Rail and inland lane sync so containers evacuate before the yard chokes.

Late rail evacuation lets yard density climb and crane productivity fall.

68 teams run this pack 20,808 runs / 30 days 92% auto-resolution

Expected outcome

Rail and inland lanes are synced to yard state so containers evacuate before density chokes the terminal.

Hours saved / wk

12

FTEs freed

0.5

Monthly value

$10,500

Triggers

Sensor / telemetry anomaly
ready
Scheduled monitoring sweep
ready
Custom webhook (POST JSON)
ready

Integrations

Webhook / REST API

Ingest live signals from your systems

Slack / Teams (optional)

Escalate edge cases to a channel

Agent steps

2 credits / run
  1. 1

    Perceive

    Ingests berth, crane and yard telemetry into a live World Model of the operation.

  2. 2

    Classify

    Tags the signal by type and severity against your ontology.

  3. 3

    Decide

    Applies your SOP rules to choose the re-optimized plan — or escalate when confidence is low.

  4. 4

    Act

    Drafts the re-optimized plan; a human approves the first runs, then it advances to assisted / autonomous.

  5. 5

    Log decision

    Every decision is written to the Decision Log with the full reasoning trail.

See it in action

State Transformation

A formal contract: what this pack converts, with explicit uncertainty bounds and verification criteria.

Initial state

Container on RailCar observed but not yet reconciled

Target state

Rail & Inland Sync: RailCar returned to a reconciled state with Lane issued (auto-resolved | assisted | escalated) and the record updated

Invariants (must hold)

RailCar identity resolved before any actionContainer classified by type & severity against the ontologyLane authorized by policy and fully reversible

Uncertainty bounds (max acceptable error)

max_severity_misclassification≤ 5.0%
max_routing_error≤ 2.0%

Verification: Lane recorded + downstream RailCar state advanced + append-only audit entry

Domain ontology — entities & states

The vocabulary this pack reasons over. Each entity has its own state machine.

RailCar4 states
observedclassifiedin_reviewresolved
Container4 states
observedclassifiedin_reviewresolved
Lane4 states
observedclassifiedin_reviewresolved

Relations

  • · RailCar-emits-Container
  • · Container-routed-to-Owner
  • · Container-resolves-into-Lane

Audit & explainability

  • Per-decision reasoning saved (input, rule applied, output)
  • Override button — marks the decision and re-trains the rule layer
  • Append-only ledger export for compliance / audit

Pricing

~7× ROI — you keep ~85% of the value this pack creates. Priced at the market median, never as a race to the bottom.

Pilot

Prove the ROI on one bottleneck.

$1,580/mo

Onboarding · included free

  • 1 workflow deployment
  • Shadow + assisted run modes
  • White-glove setup call
  • Decision Log + audit export

Scale

Recommended

Run it as a continuous outcome.

$3,790/mo

Onboarding · included free

  • Up to 5 deployments
  • Autonomous mode (earned via self-grading)
  • Continuous SLA in the Outcome Console
  • Autopilot drift signals

Enterprise

Your operating model, contracted.

Custom

+ custom implementation

  • Unlimited deployments
  • Custom SLAs + integrations
  • Dedicated solutions engineer
  • SSO + compliance reviews
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Calculate my ROI

Drag the sliders. We'll email you a personalized report — no fluff, your numbers.

10 people
50

Hours/wk saved

12

FTEs freed

0.5

Monthly value

$10,500

$126,000/yr

We'll never sell your email. One report, no drip campaign.

Estimates use the same scaling formula sales reviews on the call. No marketing math.

Onboarding is included free — self-serve or white-glove

Pick Self-serve and our onboarding assistant walks you through connecting Gmail/Outlook/Slack/ERP, or choose White-glove and a Centertron specialist joins you for a live go-live call — both at no extra cost, live in <48 hours. Either way, the pack runs in your audit trail with every decision logged.

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