When navigating the complex world of maritime trade and compliance, the most valuable asset at your disposal is accurate, reliable data – especially in sectors where poor insights could lead to multi-million financial losses and fines.
Reliability, resilience and security of production locations and supply chains have become more important due to the pandemic and concurrent geopolitical tensions.
The first port to introduce containerisation to the nation, it lost the primacy to the west coast port of Los Angeles in 1989, as booming trade with China boosted the Pacific gateway.
In an increasingly complex regulatory environment, it is vital for businesses to highlight and assess risks associated with status or operations that can influence or change the way they deal with shippers, suppliers, or their own customers.
How Predictive Fleet Analytics provides reliable predictions based on a broad range of data to aid decision making across the maritime industry.
Although raw AIS data is the default go-to for information, it’s difficult to plan ahead when about 32% of vessels sail without a destination logged, 36% of vessels’ AIS transmissions do not include ETAs. Even when those transmissions do include ETAs, 27% of vessels arrive late. Information inaccuracies lead to wrong judgments and cause significant logistical, competitive, and financial challenges — including spoiled cargo, wasted fuel, excess pollution, or additional demurrage and detention (D&D) charges.
Gain insight into future vessel activity with Predictive Fleet Analytics for supply chain efficiency and to pinpoint sales potential.
Russia’s supply chains have shown resilience since the invasion of Ukraine, with cargo flows being redirected to ‘friendly’ countries using transport corridors touted by President Vladimir Putin as long-term priority trade routes.
Port congestion and increased berthing times - the new normal under China’s strict Covid policy