Reducing aircraft fuel wastage to save $2m

How Kubrick delivered value

1. 01

   The challenge

   For a global, long-haul airline, fuel efficiency is a strategic priority. However, accurately estimating arrival delay fuel, a non-regulated fuel type, depends on several variables, such as aircraft weight, weather conditions, and air traffic.

   Complex and disjointed data sources meant planners relied on subjective judgement; a typical ‘just round it up’ approach scaled across thousands of flights a year meant millions in wasted fuel.

2. 02

   The approach

   Kubrick delivered a predictive modelling solution in just 6 weeks, enabling arrival‑delay fuel optimization through:

   • Discovery with flight planners and operational leaders to understand existing workflows and decision drivers.
   • A single source of truth, combining all operational data in the Databricks modern data platform
   • Advanced data modelling that reveals the areas of consistent allocation mismanagement and areas of greater risk
   • An interactive Streamlit dashboard interface, accessible via web browser
3. 03

   The impact

   The solution provided planners a single, trusted view on their upcoming flights and requirements that integrated easily into their workflows. By identifying where arrival delay fuel is consistently over- or under-allocated, they could improve fuel management without increasing operational risk.

   The tool empowers planners to make more accurate, near real-time decisions on minor adjustments, so they can focus their efforts on understanding the more volatile disruptions coming their way. In a carrier of 40-50 aircrafts, this tool can save up to $2m per year in wasted fuel.