Sky-High Solutions: Our B2B travel tech client aimed to minimize fuel and food waste while boosting onboard revenue for airlines. To achieve this, we tackled the challenge of predicting the optimal food and beverage inventory for each flight amid the turbulence of limited data and dynamic product SKUs.
Facing limited data, Gradient Ascent crafted a precision forecasting model that defied the odds. Despite missing crucial metrics like passenger counts, our innovation took flight, more accurately predicting demand for various product types on any flight.
Our model outperformed traditional methods for making stocking decisions, providing a 25% lift over the old models used by airlines.
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