Demand-based routing, right-sized vehicles, and schedules aligned to real usage reduce cost per rider
Compare your routes VS where people actually live
Visualize different lists of addresses on a map and compare clusters VS the location of your current stops
Identify public transit gaps at different times of day
Public transit coverage changes throughout the day, we help identify these gaps
AI routing engine optimizes vehicle VS length
AI will automatically connect pickup locations using the shortest routes, with as few vehicle as possible
Stop requests, Purchases and Address searches all visible on a map
Understand where to expand your program based on previously unknown demand
Data driven decision making
Comprehensive reporting to help you make informed choices
Our comprehensive reporting will easily let you assess the health of your transportation programs. Your dedicated account manager will help you make informed decision to further improve your shuttle program.
We analyse anonymized rider location data, demand density, and travel patterns to create optimised routes that minimise travel time while maximizing vehicle occupancy.
How do you adapt routes as demand changes?
Our system continuously monitors ridership and booking patterns, allowing routes, stop locations, and schedules to be adjusted as demand evolves over time.
How do you determine the right number and size of vehicles?
We use historical and real-time usage data to match vehicle size and fleet allocation to actual demand, reducing empty seats and avoiding overcrowding.
Can you serve areas with limited public transport?
We identify underserved areas using geographic and demand data, then design routes that connect riders efficiently to key destinations or transportation hubs.
How do you measure and improve performance over time?
We track key metrics like occupancy, travel time, and on-time performance, and use these insights to continuously refine routes and improve efficiency.