Pole Star Turns Berth Congestion Into a Data Product

Pole Star Global has added a berth-intelligence capability to its Meridia platform — a new "Berths" view that consolidates berth activity and utilisation across ports into a single analytical picture. The target users are clear: port authorities, terminal operators and shipping companies that need to understand, compare and plan around the part of the voyage where time and money quietly leak — the wait for, and the turn at, the berth. What it does: rather than treating each port as its own black box, the tool aggregates berth-level activity so operators can see utilisation patterns, benchmark performance and spot where congestion repeatedly bites. Why this matters for ship managers: waiting time at anchor and inefficient port turnarounds are among the most stubborn cost-and-emissions drains in the schedule, and they are notoriously hard to manage because the data is fragmented and self-reported. A consolidated, independent view of berth activity is the kind of input that makes port-call optimisation and just-in-time arrival something you can actually act on, rather than aspire to. It also rhymes with the Ofiniti–Teqplay move in the same week: port-call and berth intelligence is becoming a category, with independent vessel-movement data as the raw material. The honest caveat is that this is a platform feature, not a named deployment — there are no published before-and-after numbers yet from a specific port or fleet. The thing to watch is whether early users report measurable reductions in waiting time or improvements in berth utilisation that survive contact with real operations. [Splash247]

This story is part of the Maritime AI Digest of 21 June 2026.

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