MaaS Intelligence

MaaS Intelligence for
Mobility Service Providers

Maximize ridership and optimize operational efficiency for increased ROI

MaaS providers must constantly improve their operational efficiency to capture more demand and maximize ROI. Selecting optimal service locations to maximize ridership revenue is key to thrive in the competitive landscape.

Otonomo MaaS Intelligence enables visibility into clusters of demand and hyperlocal passenger segments for increased ridership and more efficient operations, improving ROI and facilitating growth. 

Ready to find out more about how MaaS  intelligence can reshape your operations ?

  • Mobility Demand Discovery

    Provide actionable insights on the best locations to place or re-allocate mobility stations and services.

  • Visitor Insights

    Provide insights on people’s behavior within the city to capture demand.

  • Service optimization

    Leverage a machine learning model which ranks each cluster to predict trips in an area


Maximize ridership and optimize operational efficiency using

  • Data-driven demand

    Plan deployment and maximize ridership with actionable insights pinpointing the best locations to situate or re-allocate mobility stations or services, including daily visits, purpose of trip, ridership share, rider journey patterns and Origin-Destination matrix journey patterns.
  • Mobility behavior indicators

    Efficiently serve rider demand based on a wide set of mobility behavior-based indicators, such as POIs in a service area, user persona segmentation and POIs visitation metrics.
  • Service expansion and re-allocation optimization

    Identify and capitalize on opportunities by visibility into trip types, including stations and services demand ranking, cluster demand ranking, recommended service/station locations and trip predictions per area.

Checkout Otonomo’s Multi-layered Vehicle Data

for urban intelligence to fuel numerous use cases, including Traffic Management, Smart Cities and Urban Planning, Safety and Emergency solutions, Location Intelligence and many more

Dive in Deeper


Mobility Intelligence Drives Micromobility in the MaaS Ecosystem

Mobility Intelligence Drives Micromobility in the MaaS Ecosystem


Data Driven Driving: Shifting into Shared Mobility and Autonomous Cars

Consumer Attitudes and Concerns About Shared Mobility and Autonomous Cars.

Featured Blog Post

Traffic is the heartbeat of the city – Using data to keep traffic flowing

Learn why smart cities need data to keep traffic flowing.