Graphcargoai

GraphCargo (graphcargoai.com), Bielefeld, Germany — A constructed air-cargo market graph: lane-level rate corridors, published schedules versus actual flown movements, structured disruption events, per-lane commodity mix (Lane DNA) and Air-to-Sea alternative corridor mappings, joined into one entity-resolved network model. Micro-scale company (two named principals, Bielefeld) holding a high-craft but unproven derived asset; the differentiator is the point-in-time event and entity graph with its abstention log rather than raw data volume. Use cases: Training disruption-propagation and freight-…

Graphcargoai offers (Alternative, Supply Chain, Sentiment, Price, Reference) — Request further research - no corpus, node or lane counts are published; the graph is assembled from third-party rate, schedule, movement, event and commodity feeds, so volume belongs to the ingested feeds rather than any disclosed asset size.

Training disruption-propagation and freight-rate forecasting models; building event-to-price reaction datasets with point-in-time discipline (event, publication and availability times kept distinct); label sets for structured-event extraction from news; air-to-sea modal substitution studies; tariff and shock scenario corpora; simulation environments over a cargo network graph

Coverage spans US, UK, Other, Japan; Data Processing & Outsourced Services; alternative, supply_chain, sentiment, price, reference; equities, commodities, derivatives.