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Maritime Parametric Cargo Delay Insurance Case Study
01
1x40' POL Rauma, Finland – POD Norfolk, US
A real shipment. Six carrier ETA changes. One pre-agreed financial safety net.
Repeated schedule slippage can turn one shipment into a planning problem. Instead of waiting for disputes or claims handling, the delay trigger was set in advance and monitored automatically from departure to arrival.
Carrier schedule changes – total 6 ETA revisions before arrival on 5 March 2026
02
Parametric Delay in a Nutshell
Simple cover. Clear trigger. Fast outcome.
The policy is designed to protect against the financial impact of delay, not physical damage to cargo. Before departure, the customer selects the insured limit and the delay trigger. Once the vessel departs, the shipment timestamps are locked and monitored against the agreed arrival threshold.
03
In Reality
The shipment left on time, but the schedule did not hold
For this shipment from Rauma to Norfolk, the policy was activated on 28th January, 2026 at the vessel’s actual departure time. From that point, the original ETA and the agreed trigger formed the basis for the compensation calculation.
04
Policy Compensation
Delay crossed the trigger and compensation followed automatically
The shipment arrived 14 days after the original ETA recorded at departure. With a 10-day delay trigger and a USD 1,000 coverage limit, the policy paid out according to the agreed structure.
05
Cargo Delay Data Sources - Parametric Data Pipeline
Independent data. Locked timestamps. Trusted payout logic.
Parametric cover only works if the underlying shipment data is reliable. That's why the policy uses independent timestamping, cross-checked transport data, and audited payout logic to create a clear and trusted trigger process.
How data integrity is protected?
Tailored Freight From Asia to the Nordics
Combining rail and sea, ESCM helps Nordic SMEs build greener supply chains without sacrificing reliability.