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.
Provide insights on people’s behavior within the city to capture demand.
Leverage a machine learning model which ranks each cluster to predict trips in an area
Maximize ridership and optimize operational efficiency using
Data-driven demandPlan 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 indicatorsEfficiently 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 optimizationIdentify 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