Trust through sensors, not paperwork
Traditional trade finance asks lenders to underwrite invoices and purchase orders as documents. That leaves a blind spot between the signed order and the finished goods: is the line running, are units on schedule, has the shipment left the dock?
The Fulfillment Oracle closes that gap. It ingests live factory data streams and produces a score the SPOOL protocol — and risk partners — can act on in minutes.
What the oracle reads
ERP and MES. Units completed, defect rates, inventory drawdown, work-order progress — the systems manufacturers already run.
Computer vision. Line cameras and vision models that confirm throughput and catch stoppages without waiting for a human status report.
Logistics APIs. Confirmation that finished goods actually moved — dock departure, carrier handoff, and milestone events that paper invoices cannot prove in real time.
Fulfillment Probability Score
Every active purchase order receives a continuously updated score. High hourly unit attainment and healthy material flow keep the score high and unlock better advance terms in the liquidity spool. Prolonged downtime, defect spikes, or stalled shipments move the score down — often before a CFO’s dashboard flags the issue.
That score feeds Verified Order NFTs and SPOOL’s dynamic risk engine: downgrades, paused advances, buyer notifications, and adjusted spreads until production recovers.
Pilot posture
We start with mid-market manufacturers already on modern ERPs and accounting stacks — the most credit-constrained operators and the fastest path to clean API integration. A successful first note with transparent, live data is the proof point that invites institutional capital into the next spool.