US Port Congestion Cost $5.2B in 2025 — Here's How to Fix Your Logistics

The United States ports handled over 28 million TEUs in 2025, and the inefficiency cost shippers, carriers, and the broader economy an estimated $5.2 billion in demurrage, detention, and supply chain delays. That figure — compiled from Federal Maritime Commission data and industry reporting — represents a 12% increase from 2024 and a structural problem that is not going away without operational transformation.

Why US Ports Are Structurally Less Efficient

US ports rank behind 50+ global peers in efficiency metrics according to the World Bank's Container Port Performance Index. The reasons are structural, not accidental:

• Labor rules — the ILA and ILWU work rules that govern East and West Coast ports respectively create operational constraints that do not exist at ports in Singapore, Rotterdam, or Shanghai.
• Infrastructure age — many US port terminals were designed for Panamax-era vessels and have not been upgraded for post-Panamax operations.
• Land constraints — urban ports like Los Angeles, Long Beach, and New York/New Jersey have limited yard space, forcing suboptimal stacking and longer truck turn times.
• Fragmented systems — terminal operators, ocean carriers, trucking companies, and rail operators often run on incompatible IT systems with limited real-time data sharing.

The result is measurable. At the Port of Los Angeles, average vessel wait time reached 7 days during peak congestion in 2025. Truck turn times averaged 87 minutes across major US ports — compared to 30 to 45 minutes at well-optimized Asian ports. Every minute of delay cascades through the supply chain.

The Demurrage and Detention Problem

Demurrage (charges for containers remaining in the terminal beyond free time) and detention (charges for containers held outside the terminal beyond free time) are the tax that inefficiency imposes on shippers. In 2025:

• $4.2 billion in total demurrage and detention charges were assessed at US ports.
• Average per-container demurrage exceeded $800 at congested West Coast terminals.
• 60% of shippers reported paying demurrage charges they considered avoidable with better terminal operations.
• Truck appointment no-shows accounted for 25% of gate congestion at major terminals.

These costs do not stay with the port. They are passed directly to importers and ultimately to consumers. For a mid-sized importer moving 2,000 containers per year, demurrage and detention costs can exceed $1.6 million — money that goes directly to inefficiency, not value creation.

AI Berth Scheduling Changes the Equation

Berth scheduling is the single highest-leverage optimization point in port operations. When a vessel arrives at port, the berth assignment determines crane allocation, labor deployment, yard positioning, and truck gate scheduling. A suboptimal berth assignment cascades inefficiency across the entire terminal operation.

Traditional berth scheduling relies on experienced planners making manual assignments based on vessel priority, crane availability, and historical patterns. This works until volume spikes, weather delays, or vessel bunching disrupt the pattern. Then it becomes reactive.

AI berth scheduling considers the full complexity of terminal operations simultaneously:

• Vessel ETAs and actual arrival patterns — not just scheduled arrival, but probabilistic arrival windows based on ocean transit data.
• Crane productivity rates — specific to each berth-vessel-crane combination, accounting for container mix and stowage plans.
• Labor availability — longshoreman scheduling constraints, overtime rules, and shift transitions.
• Yard capacity — available yard slots, stacking density, and predicted retrieval patterns for discharged containers.
• Downstream operations — truck gate appointments, rail departures, and vessel connections that depend on the berth assignment.

Terminals that have deployed AI berth scheduling report 20 to 30% reductions in vessel turnaround time, 15 to 25% increases in berth productivity (moves per crane per hour), and 10 to 20% reductions in truck turn times. These are not theoretical numbers — they are operational results from terminals handling 1M+ TEUs annually.

Yard Management: The Hidden Bottleneck

Even with optimal berth scheduling, yard management remains a persistent challenge. Containers stacked in the wrong location create retrieval delays. Trucks searching for containers waste gate time. And yard rehandles — moving containers to access others buried beneath them — consume labor and equipment.

Modern yard optimization uses real-time container tracking and predictive analytics to:

• Optimize initial stacking positions based on predicted retrieval time and vessel/truck/rail assignments.
• Minimize rehandles by stacking containers in retrieval order.
• Balance yard density across blocks to prevent bottlenecks.
• Predict yard saturation days in advance, enabling proactive measures.

A 10% reduction in rehandles at a major terminal saves approximately $2 million annually in labor and equipment costs — and that is before accounting for the truck turn time improvements that benefit shippers.

Gate Automation and Truck Turn Times

Truck turn time — the total time from a truck entering the terminal gate to departing with a container — is the most visible metric of terminal efficiency. At 87 minutes average across US major ports, it represents significant wasted labor and fuel.

Gate automation addresses this through:

• OCR-based container identification — automatically reading container numbers, chassis numbers, and seal numbers as trucks enter, eliminating manual data entry.
• Appointment systems — spreading truck arrivals across available windows to prevent gate congestion peaks.
• Real-time turn time tracking — providing shippers and truckers with live visibility into wait times and optimal arrival windows.
• Pre-gate processing — completing documentation and verification before the truck arrives at the gate.

Terminals with fully automated gate processing achieve 35 to 50 minute average turn times — a 40 to 60% reduction from the manual baseline. For shippers, this means faster container pickup, lower trucking costs, and more predictable supply chain timing.

The Data Sharing Problem

Port efficiency is not just a terminal problem. It is an ecosystem problem. Ocean carriers, terminal operators, trucking companies, rail operators, and shippers all hold pieces of the data puzzle, but rarely share it in real time. The result is information asymmetry that creates inefficiency for everyone.

Modern port operations platforms solve this by creating a shared data layer that all stakeholders can access:

• Shipping lines share real-time vessel tracking, stowage plans, and cargo status.
• Terminal operators share berth assignments, crane schedules, and yard status.
• Trucking companies share gate appointment availability and turn time data.
• Shippers gain visibility across the entire port operation from a single dashboard.

This transparency benefits everyone. Trucks arrive at optimal times. Terminals plan labor more accurately. Vessels are prioritized based on downstream urgency. And shippers make informed routing decisions based on real-time port conditions.

What Shippers Can Do Now

You cannot fix US port infrastructure overnight, but you can optimize your port operations:

1. Measure your true port costs — include demurrage, detention, trucking delays, and inventory carrying costs in your total landed cost calculation.
2. Negotiate based on data — use terminal performance data to negotiate better contracts and SLAs with carriers and forwarders.
3. Consider alternative ports — secondary ports like Savannah, Charleston, and Houston often have shorter turn times and lower costs.
4. Invest in visibility — real-time port visibility platforms pay for themselves within months through avoided demurrage alone.

The $5.2 billion annual cost of US port congestion is not inevitable. It is the result of operational inefficiency that technology is now capable of solving. See how PortFlow uses AI berth scheduling and yard optimization to cut vessel turnaround time by 30%.