Ralixar

Visibility and exceptions

ML Prediction

Demurrage and Detention Prevention

Bring free-time terms, customs milestones, terminal movement and accountable next actions into one risk-ranked queue—before exposure becomes an invoice.

GOVERNANCE

Confidence-gated intelligence

Every estimate carries confidence and freshness. Low-confidence, stale or conflicting signals route to operator review rather than silently changing the clock.

The problem

Disconnected evidence creates avoidable review work.

Dwell varies by facility, movement and month. These official JNPA figures describe one operating period, not a universal benchmark; they show why a free-time clock needs live milestones and named ownership.

28.3 hrs

Import port dwell

JNPA Logistics Data Bank · March 2025

74.4 hrs

Export port dwell

JNPA Logistics Data Bank · March 2025

157.0 hrs

ICD import dwell

JNPA Logistics Data Bank · March 2025

The AI under the hood

A named technique behind an explicit control boundary.

The model has a bounded job. It does not own the workflow or decide what a person must do.

ML Prediction

Technique in plain English

Time-to-event models estimate ETA and dwell; a cost-exposure model combines those estimates with approved free-time and tariff rules.

Inputs

  • Carrier, port, customs and terminal milestones
  • Free-time terms and charge slabs
  • CFS, ICD and delivery appointments
  • Route history, day-of-week and movement signals

Confidence gate

Every estimate carries confidence and freshness. Low-confidence, stale or conflicting signals route to operator review rather than silently changing the clock.

Rules fallback

When a model is unavailable, deterministic event clocks, contractual terms, thresholds and escalation rules continue to run.

What the human decides

An authorised person chooses the intervention, approves payments or waivers, and issues instructions to brokers, carriers, transporters or consignees.

Evidence and expected outcomes

Industry evidence, not invented product proof.

Each item states its source class and boundary. Ralixar is pre-launch; these figures do not claim customer outcomes.

Peer-reviewed

3 practical levers

A peer-reviewed study identified digitalisation, additional free time for hinterland locations and stronger negotiation attention among the most feasible responses to demurrage and detention challenges.

Journal of Shipping and Trade · 2023
Vendor case

1.2M containers

A Maersk case reported that its managed customers had less than half the D&D cost exposure of non-managed customers in a 2019–2020 North American sample. This is a vendor case, not a Ralixar result.

Maersk Destination Cargo Management case · 2021

Modules involved

One workflow across a shared shipment record.

Each module works on the same evidence, event and decision history.

Related solutions

Continue through the same operating record.

Predictive ETA and Visibility

Forecast arrival and dwell from normalised milestones.

ML Prediction
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Route and Drayage Optimisation

Plan feasible pickup and delivery movements.

Optimisation
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Freight Audit and Reconciliation

Validate assessed charges before payment.

Document AI
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Review demurrage and detention prevention on your own shipment flow.