flexiAI aggregates and crunches data
to generate valuable insights.

Before
After

Inputs

  • Commute methods and frequency, filtered by employee, department, and campus
  • Frequency of daytime mobility modes, including personal cars, FlexiCar, FlexiRide, or other services (private cars, ride-hailing, or taxis)
  • Cost and emission parameters per mode of transport and vehicle type
  • Fleet distribution (owned, leased, or on demand)

Outputs

  • Success rate of decreasing single-car riderships
  • Tips for reducing cost-per-mile and emission-per-mile
  • Fleet distribution and composition breakdown, plus “what if” analysis