SkyFare Dynamics

Case Study

SkyFare Dynamics: Aviation Digital Leadership

SkyFare Dynamics, a global airline technology provider, specializes in fare management systems. In a fast-paced market, their outdated data warehouse struggled with high processing costs and slow performance, unable to handle the massive datasets needed for dynamic pricing. This limited their ability to adapt fares to demand shifts, competitor actions, and external factors, costing clients revenue.

Turnover

12+ months

Company

SkyFare Dynamics

Industry

Aviation

Budget

Confidential

Dateonic’s Expertise in Action

SkyFare enlisted Dateonic, a Databricks consultancy, to replace their costly data warehouse with a cost-efficient Spark cluster on Databricks. Dateonic designed a migration plan, transferring historical booking data to Delta Lake and building real-time pipelines with Delta Live Tables. They implemented MLflow to manage and deploy generative AI models, enabling responsive pricing adjustments based on thousands of variables.


  • Boosted airline revenue by 14.8% with dynamic pricing
  • Reduced pricing updates from daily to 5-minute intervals
  • Cut computation costs by 52% while processing 4x more data


Driving Results

With Dateonic’s support, Databricks transformed SkyFare’s pricing system. Airlines now leverage AI-driven fares that adapt to booking patterns and external events, enhancing revenue and passenger satisfaction. The platform’s scalability has grown SkyFare’s client base by 40%, paving the way for new AI solutions in crew scheduling and maintenance.