Cost structure / standard tiers
Visibility platform data quality and cost generally scale with the breadth and directness of the underlying data connections.
| Data Source Type | Update Latency (typical) | Note |
|---|---|---|
| Carrier-published ETA/website | 12-24+ hour lag common | Lowest-cost, often free with carrier account |
| EDI feed (terminal/carrier) | Same-day to near-real-time | Requires integration setup, often subscription-based |
| API integration (carrier/terminal) | Near-real-time | Higher integration cost, most current data |
| TMS/ERP integration | Varies by internal system refresh rate | Adds internal milestone context (PO, appointment status) |
| Predictive ETA models | Continuous, model-dependent | Estimates based on historical vessel performance, supplements published ETA |
A platform's output is only as current as its slowest underlying data source, regardless of how the dashboard itself is presented.
Risk mitigation / operational guidance
When evaluating a visibility platform, ask specifically which data sources are EDI/API-direct versus scraped from carrier websites, since the latter carries the longest typical lag and is most likely to miss time-sensitive milestones like discharge or LFD changes. Treat visibility platforms as information tools, not action tools — assign specific staff responsibility for reacting to alerts (appointment booking, LFD extension requests) rather than assuming the platform itself prevents missed deadlines. During periods of port congestion, increase the frequency of manual cross-checks against terminal websites directly, since visibility platforms inherit any reporting delays from the terminal's own systems. For high-value or time-sensitive cargo, use predictive ETA estimates as a planning input alongside, not instead of, the carrier's published ETA, since predictive models can diverge from carrier estimates during schedule disruptions.