Most freight forwarders accept a certain amount of demurrage as "cost of doing business." And some of it genuinely is — port congestion, customs exams, carrier delays you can't control.
But a significant chunk of demurrage comes from containers that were available to move and didn't get moved in time. Not because the terminal was congested. Because someone didn't see the release email, or nobody noticed free time was expiring over the weekend, or the drayman was never actually booked.
Where the money actually leaks
The pattern is consistent across most mid-size forwarders I've talked to:
Release visibility gaps: customs clears a container at 2 PM, but ops doesn't see it until the next morning. That's a lost pickup day. Multiply that by 10-15 containers a month and you've got real money sitting at the terminal.
Free-time blind spots: nobody is systematically tracking which containers are closest to free-time expiry. Priority is determined by whoever calls to ask about their shipment, not by actual cost exposure.
Drayage booking lag: a container becomes available, but appointment booking and drayman assignment happen hours or days later because the steps aren't connected.
Client approval delays: the container is ready to move but needs a client payment or document approval, and nobody chased it until the charge already started.
The math on a typical book of business
A forwarder handling 500 containers per month might have 15-20% that miss their move-off targets. At $400-$800 per miss in avoidable fees, that's $30,000-$80,000 per month — $360,000-$960,000 per year.
Even a 10% improvement in move-off performance at those volumes translates to meaningful savings. And most of the improvement comes from boring operational fixes: better visibility, earlier alerts, and faster handoffs. Not AI magic — just connecting the information that already exists across your carrier portals, TMS, and customs systems into something your team can actually act on.
For a real example, see how a 600-container/month forwarder cut demurrage 40% with automated free-time monitoring and release consolidation.
If you want to map this in your own team, start with the freight forwarder automation use case and the full freight & logistics industry playbook.
