An innovative market intelligence company providing quantitative insights into the elements of commodities trading supply chain.
EMF measurements in the vicinity of pipelines’ pumping stations and infra-red imagery of oil storage facilities and refineries provides invaluable insights for commodities traders and markets forecasters.
Unique highly valuable to the markets data sets are very capital intensive to produce and extend thus making it very expensive to grow the business.
DistCoTech suggested an innovative way to leverage existing data sets through amalgamating them into an integrated supply chain model that can be used for macroeconomic forecasting.
We developed an extensible supply chain model as a platform to integrate time series data sets, updated in near real time, quantifying state of various elements of the North American supply chain for crude oil and refined products (pipelines, storage, refineries, tankers).
We further extended the platform to integrate publicly available macroeconomic and pricing data sets relevant to the target market.
We productized the solution by designing UX/UI and integrating it into the core user portal.
Cloud-based solution based on a graph database modeling North American commodities supply chain, including ports and support for vessel tracking data.
Public API to support integration of the relevant 3rd-party data sets.
.Net. Angular, Neo4J, R, Python, Azure ML
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