We live and breathe supply-chain data. 15 data scientists, 9 maritime analysts and 6 cloud-certified engineers work side-by-side to build predictive ETA engines, carbon-intensity trackers and dynamic freight-pricing models for the world’s largest carriers, 3PLs and port authorities.
Lane-level freight-rate indices, port congestion forecasts and carrier performance scorecards updated daily.
Ingest, store and query trillions of IoT events from vessels, trucks and containers in real time.
Self-service dashboards that ops teams actually use—available in the cab, on the quay or in the boardroom.
We built the first interactive stowage-plan heat map adopted by two top-10 global carriers.
Active contributor to UN/CEFACT and IAPH data standards—so your reports already speak the language of customs, ports and banks.
Dashboards load in <700 ms even when 400 terminals slice 18 months of historical data.
Typical client sees 4 % reduction in empty repositioning within the first month.
We pride ourselves on being the only boutique team that can both berth a container ship and benchmark its blockchain bill of lading.
DBT + Airflow for pipelines, dbt for modelling, Snowflake for compute, and custom React-Deck.gl for map visualisations.
Yes—McLeod, MercuryGate, SAP-TM, Oracle OTM and home-grown REST APIs connected via our generic connector framework.
Pilot dashboard in 2 weeks, production roll-out in 6–8 weeks if telemetry feeds are already digitised.
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