CubusSENSE™

ML & AI-driven insights to optimise inflight retail, reduce waste, and maximise passenger satisfaction.

CubusSENSE™
'AI'-Driven Insights for Smarter In-Flight Retail

At Cubus, we believe that data is the key to optimising onboard retail, reducing waste, and maximising revenue. All while increasing passenger satisfaction and experience by serving them what they want, when they want.'

That’s why we have CubusSENSE™ under ongoing and continuous development, a powerful AI and Machine Learning - driven analytics ‘platform’ that is deeply integrated in our systems – designed to help transform how airlines manage in-flight sales and inventory.

By analysing real-time ordering data through CubusSKY™ and leveraging advanced machine learning algorithms, CubusSENSE™ helps identifies precise onboard passenger behaviour patterns: knowing who, what and when ordered what, allows airlines over time to predict demand, ensuring the right products are onboard while minimizing dead stock and reducing unnecessary uplift weight.

Driving Sustainability Goals

By mapping onboard ordering behaviour, tracking lost sales opportunities, and analysing/combining PNR data, the system ensures overtime, that uplift decisions are based on real demand, not assumptions—helping reduce waste, fuel consumption, and operational costs.

The combination of CubusSKY™ and CubusSENSE™ is essential for maintaining a constant stream of high-quality, real-time data (when constant and stable gound connectivity are available), enabling airlines to refine their offerings, personalize passenger experiences, and ultimately, increase profitability.

With CubusSENSE™, airlines gain more than just insights—they gain a competitive advantage in the evolving world of in-flight retail.

🚀 Sell Smarter. Reduce Waste. Fly Greener.

Supporting Net-Zero Emissions
by 2050

With the aviation industry committed to achieving net-zero carbon emissions by 2050, optimizing uplift and reducing waste have never been more critical. The way data is collected and analysed through CubusSENSE™ plays a key role in sustainability initiatives:

Enhanced Passenger Satisfaction – Through CubusSKY™, airlines can personalise their onboard retail experience, ensuring passengers have access to products they actually want. By leveraging real-time data, they can dynamically adjust offerings to meet passenger expectations, improving customer experience and brand loyalty.'
Optimized Uplift – By predicting demand, airlines can prevent overstocking while ensuring they meet passenger needs, leading to efficient inventory management.
Reduced Weight, Flue Savings and Lower CO2 Emissions – Excess inventory leads to unnecessary weight, increasing fuel consumption and carbon emissions. By reducing uplift weight, airlines lower their fuel burn, supporting sustainability goals and cutting operational costs.

Turning Data into Revenue

Predict PAX Demand

By analysing real-time ordering data through CubusSKY™ and leveraging machine learning, CubusSENSE™ creates, over time, precise passenger behaviour patterns to predict demand and optimise stock levels—ensuring the right products are onboard while reducing dead stock.

Increased Revenue & Efficiency

Reduce dead stock and uplift costs while delivering data-driven recommendations that boost sales and enhance passenger experience.

Real-Time Insights

Via CubusSKY™ we can Track lost sales opportunities, trends, and spending patterns to continuously refine your in-flight retail strategy.