OUR DIFFERENTIATOR

A bottom-up analytical approach ensures data actionability

  • 01 / Vessel-specific details enable detailed filtering options

    Unique profiles for every vessel on the water enable filtering by type, owner/operator, tonnage, trade routes, and cargo type.

  • 02 / Geospatial mapping informs actionable analytics

    Our dynamic geospatial mapping process provides a critical layer to contextualizing commercial activity.

  • 03 / Foundational context provides rich historical data

    Observed vessel activity generates a historical dataset and view of current operations

  • 04 / Historical and current activity combine to drive predictions

    Machine-learning models can predict destinations, ETA, availability, next port of call, turnaround time, and cargo flows.

  • 05 / Actionable and predictive insights available when and where you need them.

    FreightFlows offers a front-end platform to support efficient data queries and analysis with the flexibility to support APIs.

Why it matters

Bottom up approach

By focusing on accuracy at the lowest level, FreightFlows can provide a market analysis that is real-time and forward-looking. Government reports on cargo movements can be weeks or months behind, and even building forecasts on fixture data alone misses huge swaths of the market.

Polygon creation

Most data providers that automatically report on vessel arrivals or departures do so with low resolution, hand-made “geofences” for AIS positions. FreightFlows uses machine-made polygons to keep world maps up to date.

Filling the gaps of missing information

With so many different data sources, update frequencies and coverage areas, customers must navigate the never-ending issue of missing data. FreightFlows has built a data model that brings together all these disparate data sources and interpolates the missing data to help provide more accurate global views.

Models that account for all trades, vessel types, and geographies

Trades are interconnected, so our models are too. FreightFlows analytics are built on data science principles that account for all trades, ensuring that our market views incorporate influences from adjacent activity

OUR SOLUTION

Market intelligence to drive informed decisions

Instantly view granular and aggregate trade data

Navigate historical and predicted voyages

Track cargo flows

Accelerate decarbonization efforts

Frequently Asked Questions

  • FreightFlows leverages a vast collection of models to create our suite of predictions: Historical models for seasonality effects, current voyage models for predictive destinations and ETAs, and future models port stay and next port-of-call predictions.

  • FreightFlows has created a first-of-its-kind dynamic mapping algorithm for anchorages, ports and berths. By adjusting the granular polygons (geofences) with observed vessel behaviors, we can create highly accurate commercial operations data.