Case Studies

Demand Forecasting and Price Optimization

A Leading Airline Case Study

Customer

This airline is one of the largest airlines in the world, with thousands of flights per day to hundreds of destinations in more than 50 countries, serving  around a million passengers each day.

Business Challenge

This airline needed to leverage mass amounts of data from the served airports to optimize logistics concerning resources, fight plans, crews, etc. – especially upon unplanned changes,for rapid accurate response. They required to ingest real-time data from multiple applications and data sources and analyze the data to optimize operations and  pricing.

 

Technical Challenge

  • Ingest ~billion flight records in minutes rather than hours
  • Ability to query data from multiple airports in real-time at low latency
  • Ability to update with low latency many airports to adjust forecast and influence
  • Event-driven architecture
  • Cloud nativeness

 

Solution

With GigaSpaces’ in-memory real-time analytics platform, this customer was able to predict and instantly handle any change in the scheduling and operating workflow. The platform’s event triggers analytics and machine learning and leverages data ingested and aggregated such as fuel costs, weather, news and more. The ability to access historical data, such as past delays during peak traffic, enriches the insights gleaned and increases the accuracy of the delay probability.

Demand Forecasting and Price Optimization with GigaSpaces

Results

  • Speed and Agility: Reduced forecasting ingestion from 3 hours to 8 minutes
  • Live interactive querying and analytics through Spark SQL < 150ms latency