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SMART4AVIATION.AEROManage supplier listing
Smart4Aviation — Airline operational-execution data generated as a byproduct of a unified ops suite deployed across airlines and ground handlers: weight-and-balance/load plans (per-flight CG position, trim-area targets, zero-fuel-weight estimates vs actuals, load distribution), fuel uplift and burn records, day-of schedule and fleet assignment with full Gantt history (flight status, realised times, MEL items, alerts, briefing packets), crew scheduling and duty records, station/ramp events (fuelling, de-icing, catering, maintenance), and operational telemessage traffic — held explicitly as a s…
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Airline operational-execution data generated as a byproduct of a unified ops suite deployed across airlines and ground handlers: weight-and-balance/load plans (per-flight CG position, trim-area targets, zero-fuel-weight estimates vs actuals, load distribution), fuel uplift and burn records, day-of schedule and fleet assignment with full Gantt history (flight status, realised times, MEL items, alerts, briefing packets), crew scheduling and duty records, station/ramp events (fuelling, de-icing, catering, maintenance), and operational telemessage traffic — held explicitly as a single-source-of-truth cloud/PostgreSQL repository spanning departments rather than a point tool.
From 15 yearsCoverage Information Technology · IndustrialsAsset class Equities
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Smart4Aviation — Airline operational-execution data generated as a byproduct of a unified ops suite deployed across airlines and ground handlers: weight-and-balance/load plans (per-flight CG position, trim-area targets, zero-fuel-weight estimates vs actuals, load distribution), fuel uplift and burn records, day-of schedule and fleet assignment with full Gantt history (flight status, realised times, MEL items, alerts, briefing packets), crew scheduling and duty records, station/ramp events (fuelling, de-icing, catering, maintenance), and operational telemessage traffic — held explicitly as a s…
Smart4Aviation offers (Alternative, Supply Chain, Fundamental) — Very large and dense: per-flight records across the whole suite — load plan, fuel, times, MEL, crew, ground events — for every operated flight in the customer base. If the installed base covers even a mid-teens share of European scheduled plus handler traffic, that is on the order of 10^7-10^8 flights per year, each with a multi-module record set and a revision history.
Fuel-burn and cost-efficiency benchmarking across fleets (the vendor's own frame: a $18bn-revenue carrier spending ~$4bn on fuel, with up to €1M/yr recoverable from CG optimisation alone on a ~100-aircraft fleet) — i.e. training data for fuel-forecast and load-planning ML; payload / zero-fuel-weight forecast model training using the platform's own forecast-error history; turnaround and on-time-performance causal analysis; de-icing and winter-operations demand forecasting by station; crew-utilisation and productivity benchmarking; airspace-closure and reroute cost quantification as a geopolitical-risk input; and airline CO₂/ESG accounting datasets.
The data is with 15 years of history.
Coverage spans US, UK, Other, Europe; Software & Services, Aerospace; alternative, supply_chain, fundamental; equities.
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