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Supply Chains Move Fast. Your Data Should Too.
Whether you're trading oil, metals, or ags, the signal environment is chaotic: delayed inventory data, geopolitical noise, and lagging fundamentals. Your edge depends on parsing all of it in real time before the market prices it in.
Where Commodities Teams Struggle
Analysts manually stitch together supply/demand figures, shipping reports, and weather forecasts
Market-moving news often reaches desks hours late or through informal channels
Structured inventory data is delayed; unstructured inputs are ignored
Signal volatility makes it hard to maintain conviction without constant refresh
Our Solution
We built a commodities signal layer that continuously ingests global inputs, extracts drivers, and delivers structured insights for faster risk management and trade execution.
Solution Components:
Event & News Parser – Monitors geopolitical alerts, shipping disruptions, production changes, and policy headlines
Supply Chain Tracker – Extracts and updates supply/demand deltas from PDFs, feeds, and news sources
Inventory Flow Models – Auto-build time series from structured and unstructured sources like EIA reports and customs data
Sentiment Engine – Scores language from analyst reports, news, and social signals tied to tickers or commodities
Output Delivery – Structured data delivered in any format for use in dashboards, reporting, machine learning models, or GenAI workflows
Common Use Cases
Track weekly EIA inventory reports alongside inferred flows and sentiment signals
Surface early indicators of geopolitical risk or OPEC production shifts
Generate real-time dashboards for PMs during macro event windows
Feed proprietary models with continuously updated, structured commodity signals
Business Outcomes
Enable intraday updates to supply/demand estimates across commodities
Reduce report lag from 48 hours to under 15 minutes
Increase accuracy of short-term price forecasts by unifying sentiment + flow data
Improve hedging decisions with automated risk alerts based on global news parsing