Air-Travel Recovery Index →

A revenue-management agent for a hospitality or airport-adjacent retail chain pulls ADW-067 weekly; when recovery_ratio sustains above 0.95 (mapped to a score above 80 — current: 82.2, 100th percentile in the 3-week backtest window, flat trend) and confidence exceeds 0.8, it automatically unlocks full dynamic-pricing mode and removes recession-era promotional discounts from the rate card, with source_lineage (TSA checkpoint volumes, tsa.gov keyless) confirming this is observed passenger throughput, not survey sentiment. The 30-day-mean-to-365-day-baseline methodology means the agent is comparing apples to apples across seasonality.

An airline CFO uses ADW-067 to benchmark whether current TSA throughput — at an 82.2 score representing the 30-day mean running at or above the prior-year baseline — justifies adding back capacity removed during softer demand periods. The competitive status quo is using internal load-factor data, which is carrier-specific and available only with a reporting lag; ADW-067 provides system-wide demand confirmation in near-real-time via the public TSA feed, enabling more confident capacity decisions ahead of schedule-publication deadlines.