Success Story

Rail Portfolio Optimization Solution for a premier
full service equipment leasing company

Business Problem

  • Add additional railcars to the portfolio
  • Decide which railcars and mix based on market conditions


  • Demand forecast based on macro conditions
  • Price fluctuations based on history
  • Simulation models to compare risk and reward for all portfolio mix options

Business Outcomes

Optimal Portfolio mix – for maximizing long term revenue, while reducing utilization risks

Scope of Engagement

2 Member multi-disciplinary team / 3 months

Services Provided

  • Data Preparation for analytics, model development and scenario analysis
  • Technologies used: SAS Forecast Studio, SAS Simulation Studio