SupplyMaven monitors supply chain risk in real time using data sources -- EIA electricity demand, FRED economic indicators, weather, port vessel counts, border wait times, and 31 commodity prices. Everything feeds into the Global Disruption Index, a single 0-100 risk score. The patent-pending Supply Manufacturing Index reads industrial electricity demand across 8 US power grids daily to detect manufacturing slowdowns 6-24 hours before any government report.
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Maker
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I spent 25 years in supply chain consulting watching companies get blindsided by disruptions they could have seen coming -- if they had the right data at the right time.
The problem isn't that the data doesn't exist. EIA publishes electricity demand hourly. FRED updates economic indicators daily. Port vessel counts are available. But nobody was synthesizing these signals into actionable intelligence for the people who actually manage supply chains day to day.
Enterprise platforms do this for $200K+ a year. Small and mid-size manufacturers, freight forwarders, commodity traders -- they get nothing. SupplyMaven changes that. The core breakthrough is the Supply Manufacturing Index: we discovered that weather-adjusted industrial electricity demand predicts manufacturing disruptions 6-24 hours before any official report. That methodology is patent-pending and validated against every major supply chain crisis since 2020.
The full platform combines that with port congestion monitoring, commodity tracking, border wait times, and macroeconomic signals into a single Global Disruption Index score.
We also just launched as an MCP server, so AI agents in Claude, ChatGPT, and Cursor can query our data directly.
I'd love to hear from anyone working in supply chain, procurement, or logistics. What signals do you wish you had earlier? What am I missing?