The industry's latest answer to chronic port congestion is not more cranes or longer berths. It's a timestamp. The Maritime Executive reports that AI-enabled estimated-time-of-arrival management could be the key to unsnagging the queues that have plagued major gateways since the pandemic-era cargo surge.

The logic is simple enough that it's almost embarrassing nobody scaled it sooner. Vessels that arrive before their berth is ready sit at anchor, burning fuel and stacking up against the very congestion they're trying to avoid. Predictive ETA systems use machine learning to forecast arrivals with far tighter margins than manual reporting, letting terminals schedule labour, yard space and berth windows around reality rather than optimism.

What does this change for shippers and carriers?

For carriers, the upside is schedule integrity. A vessel that knows it will arrive late can slow-steam, save bunkers and still hit a realistic berthing slot instead of racing to join an anchorage line. For terminals, AI-driven arrival data means fewer simultaneous surges — the pattern that turns a manageable backlog into a multi-week event.

Shippers and forwarders get the quieter benefit: ETAs they can actually build supply chains around. Anyone who booked trucking, warehousing or appointment slots against a carrier dashboard during the 2021–2022 congestion knows the gap between published arrival and actual berthing. Narrowing that gap translates directly into demurrage and detention exposure.

The catch

The technology is the easy part. AI arrival prediction only works when carriers, terminals and forwarders share positional and schedule data rather than guarding it. An ETA platform with half the fleet reporting is a weather forecast for one county.

There's also a fairness question the industry hasn't fully answered. If a terminal reschedules berths around predicted arrivals, someone's vessel moves down the queue. The algorithms will need governance to match their accuracy.

The direction, though, is set. As The Maritime Executive frames it, the industry's congestion problem is increasingly being treated as an information problem — one where better prediction, not more concrete, is the first lever carriers and ports intend to pull.