Enhanced Passenger Satisfaction
Insight from CubusSKY and related modules helps airlines review retail relevance and passenger demand patterns across onboard journeys.
Analytics and Intelligence Module
CubusSENSE is the analytics and insight layer within the Cubus airline commerce platform, supporting reporting, operational monitoring, and performance analysis.
Within the broader platform, it helps airlines analyse retail activity and operational workflows across modules such as CubusPOS, CubusSTAR, and CubusSHOP.
CubusSENSE supports analysis of onboard retail activity so airlines can review performance, refine planning assumptions, and improve visibility across ancillary commerce operations.
As the analytics module within the Cubus platform, it brings together reporting inputs from across the wider Cubus environment to support operational and commercial decision-making.
By analysing ordering and operational data across modules such as CubusPOS, CubusSTAR, and CubusSHOP, CubusSENSE helps build a clearer picture of demand patterns, stock performance, and retail workflow outcomes.
By mapping ordering behaviour, tracking missed demand, and improving visibility into uplift outcomes, planning decisions can move closer to demand-led operations with lower waste and stronger control.
More accurate uplift planning and lower waste remain important operational priorities in airline retail environments. CubusSENSE supports that effort through clearer analytics, reporting, and operational insight.
Insight from CubusSKY and related modules helps airlines review retail relevance and passenger demand patterns across onboard journeys.
Analytical review of demand and stock performance supports more controlled uplift planning and more accurate inventory decisions.
Lower excess inventory can contribute to reduced uplift weight, lower fuel impact, and improved operational efficiency across airline retail operations.
By combining ordering and operational data across the Cubus platform, CubusSENSE supports demand analysis and helps inform stock planning over time.
Clearer visibility into retail performance helps reduce dead stock, improve planning efficiency, and strengthen evaluation of ancillary retail outcomes.
Track missed demand, operational trends, and spending patterns to support ongoing review of inflight retail activity.