Wiremind

Wiremind — Three separable assets. (1) Air cargo revenue-management training corpora: historical bookings, inventory and spot-quote records with the demand forecasts and overbooking decisions the AI engine produced and the realised outcome, across airline cargo clients — capacity, demand curve and price-acceptance data per flight and lane. (2) Competitive airfare intelligence from CAYZN TRACKING, a real-time competitive tracking product that observes rivals' published fares and offers across distribution channels for airlines, railways and bus operators. (3) SKYPALLET 3D pallet build/ULD-load…

Wiremind offers (Alternative, Price, Supply Chain, Sentiment) — Est. high-density rather than high-row-count: per flight, per day, per booking class, per lane — so millions of forecast/actual and quote/outcome pairs across a carrier's network annually, plus competitive fare observations refreshed continuously across channels, which for a tracking product is typically the highest-volume asset.

Training and benchmarking revenue-management and dynamic-pricing models (a scarce labelled elasticity corpus); air-cargo demand forecasting research with verified forecast-accuracy ground truth; overbooking and capacity-allocation policy learning; airline competitive-pricing and fare-timing research from the tracking feed; freight-rate nowcasting independent of published indices; aircraft volume-utilisation and loading-optimisation models; and retail-pricing elasticity transfer learning, since the same CAYZN engine runs for rail and bus.

The data is with 10 years of history.

Coverage spans Other, US, UK; Supply Chain & Logistics Software, Passenger Airlines; alternative, price, supply_chain, sentiment; equities.