Demonstrating relationship between textual analytics sentiment and output prices during global supply chain bottlenecks.
Harnessing big data techniques to analyze bill of lading data for timely international trade indicators.
AI methods to improve analysis of black swan events in international trade.
Novel graph neural network method to model worldwide trade in the context of a network graph to predict trade unit value.
Ensemble machine learning and association rules mining to improve agricultural trade during outlier events.