21st Century Carrier

New complexities must be understood and conquered to drive profitability and build the profile of a 21st century carrier, a technology-enabled, data-driven carrier that uses Predictive Intelligence to create true asset efficiency.

Growing Challenges
Container-shipping has seen a meteoric rise since the ‘50’s, supporting the ever increasing demands of the global economy.

But the carriers who should be credited with driving worldwide trade face uncertain futures despite impressive adaptation.

New complexities must be understood and conquered to drive profitability and build the profile of a 21st century carrier, a technology-enabled, data-driven carrier that uses Predictive Intelligence to create true asset efficiency.

Carriers who set the bar in global trade are discovering that these new challenges are unlike any of the past.

Today’s market volatility, operational complexity, and customer unpredictability make efficient operations nearly impossible.

ClearMetal estimates more than $2B is left on the table by the industry annually due to container costs, repositioning, missed revenue, and vessel inefficiencies.

Becoming An Optimal Carrier
The only way to conquer shipping complexity and drive true efficiency is with an entirely different approach.

Carriers will need to focus on the underlying flow of commodities, customer behaviors, market movements, and not only embrace this complexity but leverage the mountain of data that results.

If you can understand every bit of data the thousands of possibilities for every container event, by day, facility, and voyage, then can you best layer on the assets, allocating containers and vessels most efficiently.

The Dependencies of Asset Efficiency
To efficiently allocate assets, you must first understand all the uncertainties, map every contingency, accurately predict all outcomes, and use data to determine the
best course of action. In short, pay attention to the data, not the metal.

But understanding one element of data is required before utilizing the next.

This chain of data dependencies creates a need to comprehend and resolve all challenges before allocating container and vessel assets more efficiently.


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