See demand sooner
SCOUT delivers supply chain data drawn from real industrial operations. Get access to signals on price, volume, and demand, updated on a near real-time cadence.
Who
Built for hedge funds, institutional investors, quant funds, and analysts.
What
Institutional-grade supply chain data built from real operating activity.
Why
To inform forecasts and identify potential trading opportunities earlier.
Gain access to forward-looking supply chain data
Our signals are derived from activity across major industrial supply chains, giving you a distinctive view of demand.
- Daily demand signals
- Price, volume, and sales indices with deep history
- Macro indicators and inflation forecasts
Demand signals across supply chain verticals
Index-based signals covering the industrial building blocks of the U.S. economy, updated on daily, weekly, and monthly cadences.
Building Products
Price, volume, and sales indices across lumber, plywood, OSB, and gypsum.
Cadence: Daily, weekly and monthly | Lag: T+3
Data Centers Sentiment
County level sentiment scores for evaluating data center construction and permitting risks.
Construction Intensity
Building activity signals tracking the pace and scale of development across commercial, industrial, and residential projects.
Macroeconomic indicators
Credit Health Metrics
Accounts receivable aging across a broad base of industrial operations, providing signals on credit tightening and downstream financial stress.
Sales Metrics
A diffusion index capturing the breadth of expansion or contraction in commercial activity — analogous to an ISM-style reading.
Inflation Forecasting Metrics
Proprietary CPI, PPI, and PCE forecasts with weekly updates and “whisper” estimates ahead of official releases.
Discover opportunities in early supply chain signals
The earliest signs of a turn in demand often show up in orders, shipments, and receivables long before earnings.
Why SCOUT data is different
Distinctive
Sourced from large-scale industrial supply chain activity.
Established
Price, volume, and sales indices with 10+ years of history.
Advanced
Machine-learning algorithms that power deeper risk modeling.
Evaluated
Forecast models tested against historical outcomes.
Timely
Daily, weekly, and monthly delivery cadence.
