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GO7 (AeroCRS) — Live per-seat fare inventory exposed by the airline reservation platform: for a given flight, seat fares keyed by row number and seat letter (e.g. 9A, 9B), each mapped to a fare-tier code plus an optional branded-product name — the seat-pricing layer a carrier's own booking engine runs on, sitting alongside schedule, availability, fares, fare rules and ticket terms endpoints.. Mid-size infrastructure incumbent: ~140 employees, ~$14.3M revenue, Copenhagen-headquartered, holding live seat-pricing and booking logic for a portfolio of leisure and charter carriers. Data rarity is h…
Live per-seat fare inventory exposed by the airline reservation platform: for a given flight, seat fares keyed by row number and seat letter (e.g. 9A, 9B), each mapped to a fare-tier code plus an optional branded-product name — the seat-pricing layer a carrier's own booking engine runs on, sitting alongside schedule, availability, fares, fare rules and ticket terms endpoints.
Coverage Information Technology · IndustrialsAsset class EquitiesTickers DAL · UAL · AAL
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GO7 (AeroCRS) — Live per-seat fare inventory exposed by the airline reservation platform: for a given flight, seat fares keyed by row number and seat letter (e.g. 9A, 9B), each mapped to a fare-tier code plus an optional branded-product name — the seat-pricing layer a carrier's own booking engine runs on, sitting alongside schedule, availability, fares, fare rules and ticket terms endpoints.. Mid-size infrastructure incumbent: ~140 employees, ~$14.3M revenue, Copenhagen-headquartered, holding live seat-pricing and booking logic for a portfolio of leisure and charter carriers. Data rarity is h…
GO7 (AeroCRS) offers (Price, Alternative, Reference) — Very high at request time and effectively zero retained: every hosted carrier x route x flight x aircraft returns a full row-by-seat fare grid on demand, so cumulative seat-fare observations are enormous, but the API serves current state rather than a stored archive.
Ancillary seat-pricing benchmarking across carriers running on this platform; extra-legroom and preferred-seat willingness-to-pay modelling; airline unbundling strategy analysis; booking-UX and seat-map merchandising research; revenue-management studies of seat-fare ladders by aircraft and route; training data for seat-price prediction models
Coverage spans US, Other; Application Software, Passenger Airlines; price, alternative, reference; equities.
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